Publications

Image
Real-time path tracing of a walking tiger

Real-time path tracing of a walking tiger in a 3.1 billion triangle forest scene.

Our Publications

Our publications provide insight into some of our leading-edge research.

Part of our engagement with the broader community includes disseminating our results in technical conferences, journals, and NVIDIA technical reports.

2023

Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone
American Control Conference (ACC) 2023
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen, Peter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Gerry Che, Baishakhi Ray, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang, Gerry Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
International Conference on Learning Representations (ICLR) 2023
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
PPoPP
Beyond CPO: A Motivation and Approach for Bringing Optics onto the Silicon Interposer
Ben Lee, Nikola Nedovic, Trey Greer, Tom Gray
Journal of Lightwave Technology
Target-free Text-guided Image Manipulation
Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Frank Wang
AAAI 2023
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Frank Wang
AAAI 2023
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavy, Gal Dalal
CCGrid 2023
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
AAMAS 2023
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Frank Wang
WACV 2023

2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox
The Conference on Robot Learning (CoRL) 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone
Conference on Robot Learning (CoRL) 2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
Conference on Robot Learning (CoRL) 2022
Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao, Danfei Xu, Xinshuo Weng, Z. Morely Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone
Conference on Robot Learning (CoRL) 2022
Award:
Selected for Oral Presentation
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Yann Labbe, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, et al.
CoRL 2022
QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction
Jozef Hladky, Michael Stengel, Nicholas Vining, Bernhard Kerbl, Hans-Peter Seidel, Markus Steinberger
ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2022)
Display Size and Targeting Performance: Small Hurts, Large May Help
Joohwan Kim, Arjun Madhusudan, Benjamin Watson, Ben Boudaoud, Roland Tarrazo, Josef Spjut
SIGGRAPH Asia 2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Mark Ren
Workshop on ML for Systems at NeurIPS
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan
Workshop on ML for Systems at NeurIPS
Award:
Spotlight Paper
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Ali, Ming-Yu Liu, Brucek Khailany, William Dally, Anima Anandkumar
IEEE Transactions on Computers (Volume: 71, Issue: 12, 01 December 2022)
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022 (oral)
Award:
NeurIPS Outstanding Paper
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang
NeurIPS 2022
Paraphrasing Is All You Need for Novel Object Captioning
Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, Frank Wang
NeurIPS 2022
Structural Pruning via Latency-Saliency Knapsack
Maying Shen, Hongxu Danny Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
NeurIPS 2022
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications
Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li
Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS)
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
Stephen Tyree, Jonathan Tremblay, Stan Birchfield, et al.
IROS 2022
Demystifying Map Space Exploration for NPUs
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
International Symposium on Workload Characterization (IISWC)
The Implications of Page Size Management on Graph Analytics
Aninda Manocha, Zi Yan, Esin Tureci, Juan Luis Aragón, David Nellans, Margaret Martonosi
International Symposium on Workload Characterization (IISWC)
Esports and expertise: what competitive gaming can teach us about mastery
Ben Boudaoud, Josef Spjut, Joohwan Kim, Arjun Madhusudan, Benjamin Watson
ACM Interactions
TAG: Learning Circuit Spatial Embedding from Layouts
Keren Zhu, Hao Chen, Walker Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Mark Ren
2022 International Conference on Computer-Aided Design
Why are Graph Neural Networks Effective for EDA Problems?
Mark Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu
2022 International Conference on Computer-Aided Design
TransSizer: A Novel Transformer-Based Fast Gate Sizer
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Mark Ren
2022 International Conference on Computer-Aided Design
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer
International Symposium on Microarchitecture (MICRO)
Award:
Distinguished Artifact award
Augmenting Legacy Networks for Flexible Inference.
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Steve Keckler
Workshop on Computational Aspects of Deep Learning (CADL)
Learning Perceptual Concepts by Bootstrapping from Human Queries
Andreea Bobu, Chris Paxton, Wei Yang, Balakumar Sundaralingam, Yu-Wei Chao, Maya Cakmak, Dieter Fox
RA-L / IROS 2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
European Conference on Computer Vision (ECCV) 2022
LANA: Latency Aware Network Acceleration
Pavlo Molchanov, Jimmy Hall, Hongxu Danny Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
European Conference on Computer Vision (ECCV), 2022
Generative Adversarial Neural Operators
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
NeurIPS 2022 (to appear)
Audio-Visual Segmentation
Jinxin Zhou, Yiran Zhong, Stan Birchfield, et al.
ECCV 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tenneholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik
ICLR
Ray Tracing of Signed Distance Function Grids
Herman Hansson-Söderlund, Alex Evans, Tomas Akenine-Möller
Journal of Computer Graphics Techniques, vol. 11, no. 3, 94-113, 2022
Photonic Circuits for Accelerated Computing Systems
Ben Lee
European Conference on Optical Communication (ECOC), 2022
XT-PRAGGMA: Crosstalk Pessimism Reduction Accessible by GPU Gate-level Simulations and Machine Learning
Vidya Chhabria, Ben Keller, Yanqing Zhang, Sandeep Vollala, Sreedhar Patty, Mark Ren, Brucek Khailany
MLCAD '22: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD
Placement Optimization via PPA-Directed Graph Clustering
Yi-Chen Lu, Tian Yang, Sung Kyu Lim, Mark Ren
MLCAD '22: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD
From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus
Dian-Lun Lin, Mark Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang
51st International Conference on Parallel Processing (ICPP '22)
SEC-BADAEC: An Efficient ECC With No Vacancy for Strong Memory Protection
Yuseok Song, Sangjae Park, Michael B. Sullivan, Jungrae Kim
IEEE Access
Self Adaptive Reconfigurable Arrays (SARA): Learning Flexible GEMM Accelerator Configuration and Mapping-space using ML
Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna
Design Automation Conference (DAC)
Mouse Sensitivity in First-person Targeting Tasks
Ben Boudaoud, Josef Spjut, Joohwan Kim
IEEE Conference on Games
The Esports Frontier: Rendering, Interaction and Display
Benjamin Watson, Josef Spjut, Byungjoo Lee, Greg Ward
SIGGRAPH Frontiers Workshop
CreatureShop: Interactive 3D Character Modeling and Texturing from a Single Color Drawing
Congyi Zhang, Lei Yang, Nenglun Chen, Nicholas Vining, Alla Sheffer, Francis C. M. Lau, Guoping Wang, Wenping Wang
IEEE Transactions on Vision and Computer Graphics
Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022)
Award:
Best Technical Paper, SIGGRAPH 2022
Detecting Viewer-Perceived Intended Vector Sketch Connectivity
Jerry Yin, Chenxi Liu, Rebecca Liu, Nicholas Vining, Helge Rhodin, Alla Sheffer
ACM Transactions on Graphics (SIGGRAPH 2022)
FirstPersonScience: An Open Source Tool for Studying FPS Esports Aiming
Ben Boudaoud, Josef Spjut, Pyarelal Knowles, Arjun Madhusudan, Joohwan Kim
SIGGRAPH Talks
As-Locally-Uniform-as-Possible Reshaping of Vector Clip Art
Chrystiano Araujo, Nicholas Vining, Enrique Rosales, Giorgio Gori, Alla Sheffer
ACM Transactions on Graphics (SIGGRAPH 2022)
Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators
Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein
Variable Bitrate Neural Fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
ACM SIGGRAPH 2022 Conference Proceedings
Holographic Glasses for Virtual Reality
Jonghyun Kim, Manu Gopakumar, Suyeon Choi, Yifan Peng, Ward Lopes, Gordon Wetzstein
Unbiased Inverse Volume Rendering With Differential Trackers
Merlin Nimier-David, Thomas Müller, Alex Keller, Wenzel Jakob
ACM Transactions on Graphics (SIGGRAPH 2022)
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, Alex Keller
ACM Transactions on Graphics (SIGGRAPH 2022)
Awards:
Best Technical Paper, SIGGRAPH 2022
THE BEST INVENTIONS OF 2022, TIME
Generalized Resampled Importance Sampling: Foundations of ReSTIR
Daqi Lin, Markus Kettunen, Benedikt Bitterli, Jacopo Pantaleoni, Cem Yuksel, Chris Wyman
ACM Transactions on Graphics (SIGGRAPH 2022)
Unbiased and consistent rendering using biased estimators
Zackary Misso, Benedikt Bitterli, Iliyan Georgiev, Wojciech Jarosz
ACM Transactions on Graphics (SIGGRAPH 2022)
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Brucek Khailany, William Dally
2022 International Conference on Machine Learning (ICML)
Ray/Ribbon Intersections
Alexander Reshetov
Proc. ACM Comput. Graph. Interact. Tech., Vol. 5, No. 3, July 2022.
Real-Time Path Tracing and Beyond
Petrik Clarberg, Simon Kallweit, Craig Kolb, Pawel Kozlowski, Yong He, Lifan Wu, Edward Liu, Benedikt Bitterli, Matt Pharr
HPG 2022 Keynote
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Mike Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler
Design Automation Conference (DAC)
A Position-Free Path Integral for Homogeneous Slabs and Multiple Scattering on Smith Microfacets
Benedikt Bitterli, Eugene d'Eon
EGSR 2022
A bidirectional formulation for Walk on Spheres
Yang Qi, Dario Seyb, Benedikt Bitterli, Wojciech Jarosz
EGSR 2022
Spatiotemporal Blue Noise Masks
Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, Ravi Ramamoorthi
Eurographics Sympsium on Rendering 2022
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Anima Anandkumar
International Conference on Machine Learning (ICML), 2022
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Sifei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization
Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel Emer, Siddharth Joshi
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Correcting Robot Plans with Natural Language Feedback
Pratyusha Sharma, Balakumar Sundaralingam, Valts Blukis, Chris Paxton, Tucker Hermans, Antonio Torralba, Jacob Andreas, Dieter Fox
Robotics Science and Systems (RSS) 2022
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
International Conference on Dependable Systems and Networks (DSN)
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen, Boris Ivanovic, Marco Pavone
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction
Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
FreeSOLO: Learning to Segment Objects without Annotations
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Ifor: Iterative flow minimization for robotic object rearrangement
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora…
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Award:
Oral presentation
Mixed-Proxy Extensions for the NVIDIA PTX Memory Consistency Model
Daniel Lustig, Simon Cooksey, Olivier Giroux
International Symposium on Computer Architecture (ISCA), Industry Track
Award:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
A 0.297-pJ/bit 50.4-Gb/s/wire Inverter-Based Short-Reach Simultaneous Bidirectional Transceiver for Die-to-Die Interface in 5nm CMOS
Yoshinori Nishi, John W. Poulton, Xi Chen, Sanquan Song, Brian Zimmer, Walker Turner, Stephen Tell, Nikola Nedovic, John Wilson, William Dally, Tom Gray
2022 IEEE SYMPOSIUM ON VLSI TECHNOLOGY & CIRCUITS
A 17–95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm
Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen Tell, Brian Zimmer, William Dally, Tom Gray, Brucek Khailany
2022 Symposium on VLSI Technology & Circuits Digest of Technical Papers
SIMD^2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM
Yunan Zhang, Po-An Tsai, Hung-Wei Tseng
International Symposium on Computer Architecture (ISCA)
A Formalism of DNN Accelerator Flexibility
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
SIGMETRICS
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
Xinshuo Weng, Boris Ivanovic, Marco Pavone
IEEE Intelligent Vehicles Symposium (IV) 2022
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone
IEEE Intelligent Vehicles Symposium (IV) 2022
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic, Marco Pavone
IEEE Intelligent Vehicles Symposium (IV) 2022
Onesweep: A Faster Least Significant Digit Radix Sort for GPUs
Andrey Adinets, Duane Merrill
arXiv
A-ViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Danny Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Ora…
GradViT: Gradient Inversion of Vision Transformers
Ali Hatamizadeh, Hongxu Danny Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
When to Prune? A Policy towards Early Structural Pruning
Maying Shen, Pavlo Molchanov, Hongxu Danny Yin, Jose M. Alvarez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithya Murali, Maya Cakmak, Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA) 2022
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2022
Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design
Qijing Jenny Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Mike Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler
arXiv
Accelerated Policy Learning with Parallel Differentiable Simulation
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
International Conference on Learning Representations (ICLR) 2022
MatBuilder: Mastering Sampling Uniformity Over Projections
Loïs Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Alex Keller, Victor Ostromoukhov
ACM Transactions on Graphics (SIGGRAPH 2022)
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal, Or Patashnik, Haggai Maron, Amir Bermano, Gal Chechik, Daniel Cohen-Or
SIGGRAPH 2022
Esports meets human-computer interaction
Simone Kriglstein, Anna Lisa Martin-Niedecken, Josef Spjut, Nicole B. Damen, Selen Turkay, Anders Drachen
ACM Interactions
A Dataset and Explorer for 3D Signed Distance Functions
Towaki Takikawa, Andrew Glassner, Morgan McGuire
Journal of Computer Graphics Techniques
Learning Continuous Environment Fields via Implicit Functions
Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu
International Conference on Learning Representations (ICLR), 2022
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani
International Conference on Learning Representations (ICLR) 2022 (Oral)
Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Computer Graphics Forum (Eurographics 2022)
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
Slang Shading Language Advances
Yong He, Petrik Clarberg, Theresa Foley
Video on YouTube
Model Predictive Control for Fluid Human-to-Robot Handovers
Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox
IEEE International Conference on Robotics and Automation (ICRA) 2022
Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Steve Keckler
International Symposium on High-Performance Computer Architecture (HPCA)
Improving Locality of Irregular Updates with Hardware Assisted Propagation Blocking
Vignesh Balaji, Brandon Lucia
International Symposium on High Performance Computer Architecture (HPCA)
Award:
Best Paper nominee
Characterizing and Mitigating Soft Errors in GPU DRAM
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
IEEE Micro (Issue: Top Picks of the 2021 Computer Architecture Conferences)
AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies
Hao Chen, Walker Turner, Sanquan Song, Keren Zhu, George Kokai, Brian Zimmer, Tom Gray, Brucek Khailany, Mark Ren
International Symposium on Physical Design 2022
Research Advances Toward Real-Time Path Tracing
Petrik Clarberg, Simon Kallweit, Craig Kolb, Pawel Kozlowski, Yong He, Lifan Wu, Edward Liu
GDC 2022
Learning Contrastive Representation for Semantic Correspondence
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
International Journal of Computer Vision (IJCV)
DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects
Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Ruzena Bajcsy, Tucker Hermans, Dieter Fox
IEEE Robotics and Automation Letters
Routability-Aware Placement for Advanced FinFET Analog Circuits with Satisfiability Modulo Theories
Hao Chen, Walker Turner, David Z. Pan, Mark Ren
Design, Automation & Test in Europe 2022
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators
Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
Design, Automation & Test in Europe (DATE)
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Mark Ren
2022 Design Automation Conference
GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement
Yanqing Zhang, Mark Ren, Akshay Sridharan, Brucek Khailany
2022 Design Automation Conference
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nister, Nikolai Smolyanskiy
ICRA 2022
Driving Down Link Energy and Driving Up Link Density in GPU Networks
Ben Lee
Optical Fiber Communications (OFC) Conference, 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
International Conference on Learning Representations (ICLR) 2022 (Spotlight)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
International Conference on Learning Representations (ICLR), 2022 (Spotlight)
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
Transactions on Architecture and Code Optimization (TACO)
DAGguise: Mitigating Memory Timing Side Channels
Peter W. Deutsch, Yuheng Yang, Thomas Bourgeat, Jules Drean, Joel Emer, Mengjia Yan
International Conference on Architectural Support for Programming Languages and…
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
ICRA 2022
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
IAAI 2022
Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
ICRA 2022
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, et al.
IJCV
Machine Learning and Algorithms: Let Us Team Up for EDA
Mark Ren, Brucek Khailany, Matt Fojtik, Yanqing Zhang
IEEE Design & Test
GPU Subwarp Interleaving
Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler
International Symposium on High-Performance Computer Architecture (HPCA)
Accelerators
Steve Keckler, Dejan Milojicic
IEEE Computer
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
Jonathan Tremblay, Moustafa Meshry, Stan Birchfield, et al.
ECCV 2022 Workshop on Learning to Generate 3D Shapes and Scenes
Learning to reason about and to act on physical cascading events
Gal Chechik, Yuval Atzmon, Eli Meirom, Shie Mannor
Arxiv

2021

Scalar Spatiotemporal Blue Noise Masks
Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, Ravi Ramamoorthi
arXiv:2112.09629
Path Guiding Using Spatio-Directional Mixture Models
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
Computer Graphics Forum
AdaptiBrush: Adaptive General and Predictable VR Ribbon Brush
Enrique Rosales, Chrystiano Araujo, Jafet Rodriguez, Nicholas Vining, Dongwook Yoon, Alla Sheffer
ACM Transactions on Graphics (SIGGRAPH Asia 2021)
Dynamic Diffuse Global Illumination Resampling
Zander Majercik, Thomas Müller, Alex Keller, Derek Nowrouzezahrai, Morgan McGuire
Computer Graphics Forum
GPU Domain Specialization via Composable On-Package Architecture
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler
ACM Transactions on Architecture and Code Optimization (TACO)
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
NeurIPS 2021
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Mark Ren, Matt Fojtik, Brucek Khailany
Design Automation Conference (DAC) 2021 (Invited special session paper)
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
Design Automation Conference (DAC) 2021
Evolution of the Graphics Processing Unit (GPU)
William Dally, Steve Keckler, David B. Kirk
IEEE Micro Special Issue of the 50th Anniversary of the Microprocessor
Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays
Manu Gopakumar, Jonghyun Kim, Suyeon Choi, Yifan Peng, Gordon Wetzstein
Optics Letters
Interpreting and predicting tactile signals for the SynTouch BioTac
Yashraj Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
International Journal of Robotics Research (IJRR) 2021
KAMA: 3D Keypoint Aware Body Mesh Articulation
Umar Iqbal, Kevin Xie, Kelly Guo, Jan Kautz, Pavlo Molchanov
International Conference on 3D Vision
Fast Volume Rendering with Spatiotemporal Reservoir Resampling
Daqi Lin, Chris Wyman, Cem Yuksel
ACM Transactions on Graphics (SIGGRAPH Asia 2021)
Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission
Iuri Frosio, Aldo Marzullo, Martina Golini, Elena De Momi, Michele Catellani, Francesco Calimeri, Giuseppe Fiameni
AIABI-2021 Italian Workshop on Artificial Intelligence and Applications for Bus…
Neural 3D Holography
Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Gordon Wetzstein
ACM Transactions on Graphics (SIGGRAPH Asia 2021)
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler
CVPR 2022 (Oral)
Noise-Aware Video Saliency Prediction
Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef Spjut, Pradeep Sen, Iuri Frosio
The British Machine Vision Conference (BMVC) - 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
Neural Information Processing Systems (NeurIPS) 2021
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
Neural Information Processing Systems (NeurIPS) 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat
Neural Information Processing Systems (NeurIPS) 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie, Arash Vahdat, Anima Anandkumar
Neural Information Processing Systems (NeurIPS) 2021
Speckle-free holography with partially coherent light sources and camera-in-the-loop calibration
Yifan Peng, Suyeon Choi, Jonghyun Kim, Gordon Wetzstein
Science Advances
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
Conference on Robot Learning (CoRL) 2021
Award:
Selected for Oral Presentation
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox
Conference on Robot Learning 2021
Graph Learning-Based Arithmetic Block Identification
Zhuolun He, Ziyi Wang, Chen Bai, Haoyu Yang, Bei Yu
IEEE/ACM International Conference on Computer-Aided Design
IPA: Floorplan-Aware SystemC Interconnect Performance Modeling and Generation for HLS-based SoCs
Nathaniel Pinckney, Rangharajan Venkatesan, Ben Keller, Brucek Khailany
IEEE/ACM International Conference on Computer-Aided Design (ICCAD ’21)
Optimizing Selective Protection for CNN Resilience
Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler
International Symposium on Software Reliability Engineering (ISSRE)
Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs
Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao
International Symposium on Software Reliability Engineering (ISSRE)
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
GPS: A Global Publish-Subscribe Model for Multi-GPU Memory Management
Harini Muthukrishnan, Daniel Lustig, David Nellans, Thomas Wenisch
International Symposium on Microarchitecture (MICRO)
Awards:
Best Paper nominee
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Characterizing and Mitigating Soft Errors in GPU DRAM
Michael B. Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler
International Symposium on Microarchitecture (MICRO)
Award:
IEEE Micro Top Picks in Computer Architecture
Self-Supervised Object Detection via Generative Image Synthesis
Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz
International Conference on Computer Vision (ICCV) 2021
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law
ICCV 2021
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
Parallel Architectures and Compilation Techniques (PACT)
Joint Space Control via Deep Reinforcement Learning
Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield
IROS 2021
Multi-View Fusion for Multi-Level Robotic Scene Understanding
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
IROS 2021
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs
Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei Hwu
Proceedings of the VLDB Endownment (VLDB)
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu
Proceedings of the VLDB Endowment (VLDB)
SiP-ML: high-bandwidth optical network interconnects for machine learning training
Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
SIGCOMM '21: Proceedings of the 2021 ACM SIGCOMM 2021 Conference
Gaming at Warp Speed: Improving Aiming with Late Warp
Ben Boudaoud, Pyarelal Knowles, Joohwan Kim, Josef Spjut
SIGGRAPH Emerging Technologies
StrokeStrip: Joint Parameterization and Fitting of Stroke Clusters
Dave Pagurek van Mossel, Chenxi Liu, Nicholas Vining, Mikhail Bessmeltsev, Alla Sheffer
ACM Transactions on Graphics (Proc. SIGGRAPH 2021)
Visualizing and Communicating Errors in Rendered Images
Pontus Andersson, Tomas Akenine-Möller, Jim Nilsson
Ray Tracing Gems II, chapter 19, 2021.
Differential Barycentric Coordinates
Tomas Akenine-Möller
Ray Tracing Gems II, chapter 6, 2021.
Refraction Ray Cones for Texture Level of Detail
Jakub Bokskansky, Cyril Crassin, Tomas Akenine-Möller
Ray Tracing Gems II, chapter 10, 2021.
Enabling Next-generation Holographic Displays with Artificial Intelligence
Gordon Wetzstein, Yifan Peng, Suyeon Choi, Jonghyun Kim
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE Intelligent Vehicles Symposium (IV)
Cooperative Profile Guided Optimization
Mark Stephenson, Ram Rangan, Steve Keckler
Computer Graphics Forum (Proceedings of High Performance Graphics)
Rearchitecting Spatiotemporal Resampling for Production
Chris Wyman, Alexey Panteleev
ACM/EG Symposium on High Performance Graphics
Improving Long-read Consensus Sequencing Accuracy with Deep Learning
Avantika Lal, Michael Brown, Rahul Mohan, Joyjit Daw, James Drake, Johnny Israeli
Biorxiv
ReSTIR GI: Path Resampling for Real-Time Path Tracing
Yaobin Ouyang, Shiqiu Liu, Markus Kettunen, Matt Pharr, Jacopo Pantaleoni
Computer Graphics Forum (Proceedings of High Performance Graphics)
NeRF-Tex: Neural Reflectance Field Textures
Hendrik Baatz, Jonathan Granskog, Marios Papas, Fabrice Rousselle, Jan Novák
Eurographics Symposium on Rendering (EGSR)
Neural Scene Graph Rendering
Jonathan Granskog, Till Schnabel, Fabrice Rousselle, Jan Novák
ACM Transactions on Graphics
Zero-Variance Transmittance Estimation
Eugene d'Eon, Jan Novák
Eurographics Symposium on Rendering
Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices
Hengyu Zhao, Siva Hari, Timothy Tsai, Mike Sullivan, Steve Keckler, Jishen Zhao
Workshop on Safety and Security of Intelligent Vehicles (SSIV)
An Unbiased Ray-Marching Transmittance Estimator
Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák
ACM Transactions on Graphics
An Analytic BRDF for Materials with Spherical Lambertian Scatterers
Eugene d'Eon
Eurographics Symposium on Rendering
Real-time Neural Radiance Caching for Path Tracing
Thomas Müller, Fabrice Rousselle, Jan Novák, Alex Keller
ACM Transactions on Graphics
NVBitFI: Dynamic Fault Injection for GPUs
Timothy Tsai, Siva Hari, Michael B. Sullivan, Oreste Villa, Steve Keckler
International Conference on Dependable Systems and Networks (DSN)
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
CVPR
Weakly-Supervised Physically Unconstrained Gaze Estimation
Rakshit Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Award:
Oral presentation
Binary TTC: A Temporal Geofence for Autonomous Navigation
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Award:
Best Student Paper Honorable Mention, CVPR 2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Learning to Track Instances without Video Annotations
Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Award:
Oral presentation
Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles
Vasu Singh, Siva Hari, Timothy Tsai, Mandar Pitale
Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD)
Deep Two-View Structure-from-Motion Revisited
Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li
CVPR 2021
Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers
Harini Muthukrishnan, David Nellans, Daniel Lustig, Jeffrey Fessler, Thomas Wenisch
International Symposium on Computer Architecture (ISCA)
SpZip: Architectural Support for Effective Data Compression in Irregular Applications
Yifan Yang, Joel Emer, Daniel Sanchez
International Symposium on Computer Architecture (ISCA)
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Danny Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Optimal Quantization Using Scaled Codebook
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Danny Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, Dieter Fox
International Conference on Robotics and Automation (ICRA) 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
International Conference on Learning Representations (ICLR), 2021 (Spotlight)
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
Clemens Eppner, Arsalan Mousavian, Dieter Fox
2021 IEEE International Conference on Robotics and Automation (ICRA)
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
2021 IEEE International Conference on Robotics and Automation (ICRA)
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs
Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu
ICRA 2021
Simba: scaling deep-learning inference with chiplet-based architecture
Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler
Communications of the ACM
Award:
ACM Research Highlight
Fast Uncertainty Quantification for Deep Object Pose Estimation
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Anima Anandkumar, Yuke Zhu
ICRA 2021
Genome-wide Bioinformatic Analyses Predict Key Host and Viral Factors in SARS-CoV-2 Pathogenesis
Mariana G. Ferrarini, Avantika Lal, Rita Rebollo, Andreas Gruber, Andrea Guarracino, Itziar Martinez Gonzalez, Taylor Floyd, Daniel Siqueira de Oliveira, Justin Shanklin, Ethan Beausoleil, Taneli Pusa, Brett E. Pickett, Vanessa Aguiar-Pulido
Communications Biology
Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling
Fernando Fernandes dos Santos, Siva Hari, Pedro Martins Basso, Luigi Carro, Paolo Rech
IEEE International Parallel & Distributed Processing Symposium (IPDPS)
A Case Study of First Person Aiming at Low Latency for Esports
Josef Spjut, Ben Boudaoud, Joohwan Kim
Esports and High Performance HCI Workshop
NViSII: A Scriptable Tool for Photorealistic Image Generation
Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
SDG Workshop at ICLR 2021
Contrastive Syn-to-Real Generalization
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
International Conference on Learning Representations (ICLR) 2021
Scaling Probe-Based Real-Time Dynamic Global Illumination for Production
Zander Majercik, Adam Marrs, Josef Spjut, Morgan McGuire
The Journal of Computer Graphics Techniques
Visualizing Errors in Rendered High Dynamic Range Images
Pontus Andersson, Jim Nilsson, Peter Shirley, Tomas Akenine-Möller
Eurographics Short Papers 2021
Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators
Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Improved Shader and Texture Level of Detail Using Ray Cones
Tomas Akenine-Möller, Cyril Crassin, Jakub Boksansky, Laurent Belcour, Alexey Panteleev, Oli Wright
Journal of Computer Graphics Techniques, 2021
GAMMA: Exploiting Gustavson’s Algorithm to Accelerate Sparse Matrix Multiplication
Guowei Zhang, Nithya Attaluri, Joel Emer, Daniel Sanchez
International Conference on Architectural Support for Programming Languages and…
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
International Conference on Architectural Support for Programming Languages and…
Appearance-Driven Automatic 3D Model Simplification
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine
EGSR 2021
VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
Steve Dai, Rangharajan Venkatesan, Mark Ren, Brian Zimmer, William Dally, Brucek Khailany
MLSys 2021
GPU Domain Specialization via Composable On-Package Architecture
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler
arXiv
Auxiliary Learning by Implicit Differentiation
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
ICLR 2021
On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym, Haggai Maron
ICLR 2021
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
ICLR | 2021
RGB-D Local Implicit Function for Depth Completion of Transparent Objects
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
CVPR 2021
Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Danial J. Sorin, Benjamin C. Lee, Mike O'Connor
International Symposium on Performance Analysis of Systems and Software (ISPASS)
High-quality Holographic Displays Using Double SLMs and Camera-in-the-loop Optimization
Suyeon Choi, Yifan Peng, Jonghyun Kim, Gordon Wetzstein
Proceedings Volume 11765, Optical Architectures for Displays and Sensing in Aug…
Reactive Human-to-Robot Handovers of Arbitrary Objects
Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox
ICRA 2021
Award:
Best Paper in Human-Robot Interaction, ICRA 2021
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox
ICRA 2021
Object Rearrangement Using Learned Implicit Collision Functions
Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox
ICRA 2021
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda, Iuri Frosio, Seth Schenider, Morgan McGuire, Joohwan Kim
I3D ’21
Interactive Path Tracing and Reconstruction of Sparse Volumes
Nikolai Hofmann, Jon Hasselgren, Petrik Clarberg, Jacob Munkberg
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Award:
Best Paper Presentation, i3D 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
arXiv
Deep Learning-based Enhancement of Epigenomics Data with AtacWorks
Avantika Lal, Zachary D Chiang, Nikolai Yakovenko, Fabiana M Duarte, Johnny Israeli, Jason D Buenrostro
Nature Communications
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu
ArXiv
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques
Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler
IEEE Transactions on Dependable and Secure Computing (TDSC)
Fair and Comprehensive Benchmarking of Machine Learning Processing Chips
Geoffrey W. Burr, SukHwan Lim, Boris Murmann, Rangharajan Venkatesan, Marian Verhelst
https://ieeexplore.ieee.org/document/9367229
PGZ: Automatic Zero-Value Code Specialization
Mark Stephenson, Ram Rangan
International Conference on Compiler Construction (CC)
Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures
Fernando F. dos Santos, Marcelo Brandalero, Michael B. Sullivan, Pedro M. Basso, Michael Hubner, Luigi Carro, Paolo Rech
IEEE Transactions on Computers
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
International Symposium on High-Performance Computer Architecture (HPCA)
Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator.
Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Ted Jiang, David Nellans
International Symposium on High Performance Computer Architecture (HPCA)
P-OPT: Practical Optimal Cache Replacement for Graph Analytics
Vignesh Balaji, Neal Crago, Aamer Jaleel, Brandon Lucia
International Symposium on High Performance Computer Architecture (HPCA)
Award:
Best Paper nominee
Scaling Implicit Parallelism via Dynamic Control Replication
Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen Shipman, Patrick McCormick, Michael Garland, Alex Aiken
Principles and Practices of Parallel Programming (PPoPP)
Verifying High-Level Latency-Insensitive Designs with Formal Model Checking
Steve Dai, Alicia Klinefelter, Mark Ren, Rangharajan Venkatesan, Ben Keller, Nathaniel Pinckney, Brucek Khailany
arXiv
Transferable Task Execution from Pixels through Deep Planning Domain Learning
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
ICRA 2020
Ground-Referenced Single-Ended Signaling: Applications for High-Density Short-Haul Communication Systems
John Wilson, Walker Turner, John Poulton
Solid-State Circuits Magazine
Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization
Mingjie Liu, Walker Turner, George Kokai, David Z. Pan, Brucek Khailany, Mark Ren
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang
IEEE Journal of Solid-State Circuits (JSSC)
MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification
Vidya A. Chhabria, Yanqing Zhang, Mark Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Optimizing Image Quality for Holographic Near-eye Displays with Michelson Holography
Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein
Optica
Planning and Learning with Adaptive Lookahead
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
Arxiv
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model
Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai
International Workshop on Polyhedral Compilation Techniques (IMPACT)
Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes
Mark Ren, Matt Fojtik
26th Asia and South Pacific Design Automation Conference (ASP-DAC) 2021
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve, Haggai Maron, Gal Chechik
Winter Conference on Applications of Computer Vision (WACV), 2021
From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors
Dvir Samuel, Yuval Atzmon, Gal Chechik
Winter Conference on Applications of Computer Vision (WACV) 2021
Data-Free Knowledge Distillation for Object Detection
Akshay Chawla, Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez
WACV 2021
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman, Gal Dalal, Shie Mannor
ICLR 2021
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators
Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
IEEE Computer Architecture Letters (CAL)

2020

NVCell: Generate Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Mark Ren, Matt Fojtik, Brucek Khailany
Workshop on ML for Systems at NeurIPS
Set2Graph: Learning Graphs From Sets
Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Conference on Neural Information Processing Systems (NeurIPS 2020)
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz
Neural Information Processing Systems (NeurIPS) 2020
Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng, Seonwook Park, Xucong Zhang, Shalini De Mello, Otmar Hilliges
Neural Information Processing Systems (NeurIPS) 2020
A Causal View of Compositional Zero-Shot Recognition
Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik
Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)
Generative View Synthesis: From Single-View Semantics to Novel-View Images
Tewodros Abtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker
NeurIPS
Neural Networks with Recurrent Generative Feedback
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar
Conference on Neural Information Processing Systems (NeurIPS) 2020
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su, Wonmin Byeon, Jean Kossaifi, Furong Huang, Jan Kautz, Anima Anandkumar
Advances in Neural Information Processing Systems (NeurIPS)
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila
NeurIPS 2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire
NeurIPS
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar
Conference on Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)
Accelerating Reinforcement Learning through GPU Atari Emulation
Iuri Frosio, Steven Dalton
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu
Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2)
[PDF] from neurips.cc Neural ffts for universal texture image synthesis
Neural Control Variates
Thomas Müller, Fabrice Rousselle, Alex Keller, Jan Novák
ACM Transactions on Graphics (SIGGRAPH Asia)
How Software Can "Chip In" to the IC Design Process: A Multidisciplinary Approach May Attract New Talent and Accelerate Innovation
Alicia Klinefelter
IEEE Solid-State Circuits Magazine
GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Hari
The International Conference for High Performance Computing, Networking, Storag…
RMPflow: A Computational Graph for Automatic Motion Policy Generation
Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan Ratliff
International Workshop on the Algorithmic Foundations of Robotics (WAFR) 2018
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
Visak Kumar, Tucker Hermans, Dieter Fox, Stan Birchfield, Jonathan Tremblay
NeurIPS Workshop on Robot Learning
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan Ratliff
IEEE Transactions on Automation Science and Engineering (T-ASE)
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty
Findings of EMNLP
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE International Workshop on Automotive Reliability & Test (ART)
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar
IEEE Automotive Reliability and Test Workshop
Glossy Probe Reprojection for Interactive Global Illumination
Simon Rodriguez, Thomas Leimkühler, Siddhant Prakash, Chris Wyman, Peter Shirley, George Drettakis
ACM Transactions on Graphics (SIGGRAPH Asia 2020)
Modular Primitives for High-Performance Differentiable Rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila
ACM Transactions on Graphics 39(6) (Proc. SIGGRAPH Asia 2020)
Opportunities for RTL and Gate Level Simulation using GPUs
Yanqing Zhang, Mark Ren, Brucek Khailany
IEEE/ACM International Conference on Computer-Aided Design (ICCAD ’20)
Collaborative Interaction Models for Optimized Human-Robot Teamwork
Adam Fishman, Chris Paxton, Wei Yang, Nathan Ratliff, Byron Boots, Dieter Fox
International Conference on Intelligent Robots and Systems (IROS) 2020
Human Grasp Classification for Reactive Human-to-Robot Handovers
Wei Yang, Chris Paxton, Maya Cakmak, Dieter Fox
International Conference on Intelligent Robots and Systems (IROS), 2020
Locality-Centric Data and Threadblock Management for Massive GPUs
Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G. Rogers
International Symposium on Microarchitecture (MICRO)
CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches
Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel Emer, Mengjia Yan
International Symposium on Microarchitecture (MICRO)
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems
Guangpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Hari, Zbigniew Kalbarczyk, Ravishankar Iyer
International Symposium on Software Reliability Engineering (ISSRE)
Award:
Best Paper award
Learning Object Permanence from Video
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
ECCV 2020
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
MICCAI 2020
A Programmable Approach to Neural Network Compression
Vinu Joseph, Ganesh L. Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg
IEEE Micro: Special Issue on Machine Learning for Systems
“Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D Hager
IEEE Robotics and Automation Letters
Accelerating Chip Design with Machine Learning
Brucek Khailany, Mark Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William Dally
IEEE Micro
Scaling Probe-Based Real-Time Dynamic Global Illumination for Production (Technical Report)
Zander Majercik, Adam Marrs, Josef Spjut, Morgan McGuire
arXiv.org
HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks
Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Mike Sullivan, Timothy Tsai, Steve Keckler
SRC TECHCON
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021
How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer
IEEE Solid-State Circuits Magazine
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz
European Conference on Computer Vision (ECCV) 2020 (Oral)
UFO2: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
European Conference on Computer Vision (ECCV) 2020
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz
European Conference on Computer Vision (ECCV) 2020
World-Consistent Video-to-Video Synthesis
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
ECCV
Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz
European Conference on Computer Vision, 2020
Neural Holography
Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein
SIGGRAPH 2020 Emerging Technology
Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications
Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein
ACM Transactions on Architecture and Code Optimization (TACO)
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg
Conference on Uncertainty in Artificial Intelligence (UAI) 2020
Weakly Supervised One-stage Vision and Language Disease Detection using Large Scale Pneumonia and Pneumothorax Studies
Leo Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
MICCAI 2020
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield
IROS 2020
ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks
Mark Ren, George Kokai, Walker Turner, Ting-Sheng Ku
Design Automation Conference (DAC) 2020
GRANNITE: Graph Neural Network Inference for Transferable Power Estimation
Yanqing Zhang, Mark Ren, Brucek Khailany
Design Automation Conference (DAC) 2020
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
International Symposium on Microarchitecture (MICRO)
Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, Wojciech Jarosz
ACM Transactions on Graphics (SIGGRAPH 2020)
Practical Product Sampling by Fitting and Composing Warps
David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, Peter Shirley
EuroGraphics Symposium on Rendering
Automated Synthetic-to-Real Generalization
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
International Conference on Machine Learning (ICML) 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
International Conference on Machine Learning (ICML) 2020
Angular Visual Hardness
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Anima Anandkumar
International Conference on Machine Learning (ICML) 2020
Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions
Joohwan Kim, Pyarelal Knowles, Josef Spjut, Ben Boudaoud, Morgan McGuire
High Performance Graphics 2020
ꟻLIP: A Difference Evaluator for Alternating Images
Pontus Andersson, Jim Nilsson, Tomas Akenine-Möller, Magnus Oskarsson, Kalle Åström, Mark D. Fairchild
High Performance Graphics 2020
Award:
Wolfgang Straßer Award for 3rd best paper, High Performance Graphics 2020
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
International Conference on Machine Learning (ICML) 2020
Award:
Outstanding Paper, ICML 2020
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh
International Conference on Machine Learning (ICML) 2020
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)
Understanding SSIM
Jim Nilsson, Tomas Akenine-Möller
arXiv
Compositional Neural Scene Representations for Shading Inference
Jonathan Granskog, Fabrice Rousselle, Marios Papas, Jan Novák
ACM Transaction on Graphics (SIGGRAPH)
PyTorchFI: A Runtime Perturbation Tool for DNNs
Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Hari
Workshop on Dependable and Secure Machine Learning
ML-driven Malware that Targets AV Safety
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
International Conference on Dependable Systems and Networks (DSN)
A Taxonomy of Bidirectional Scattering Distribution Function Lobes for Rendering Engineers
Morgan McGuire, Julie Dorsey, John F. Hughes, Steve Marschner, Matt Pharr, Peter Shirley
EuroGraphics Workshop on Material Appearance Modeling
Neural Denoising with Layer Embeddings
Jacob Munkberg, Jon Hasselgren
EGSR 2020
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Mark Ren, Brucek Khailany, David Z. Pan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (…
Award:
2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
European Conference on Computer Vision (ECCV) 2020 (Spotlight)
Bi3D: Stereo Depth Estimation via Binary Classifications
Abhishek Badki, Alejandro Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Weiyang Liu, Rongmei Lin, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila
CVPR 2020
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths
Jae shin Yoon, Kihwan Kim, Orazio Gallo, Hyunsoo Park, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (Ora…
Self-Supervised Viewpoint Learning From Image Collections
Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Two-shot Spatially-varying BRDF and Shape Estimation
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P.A. Lensch, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs
Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei Hwu
arXiv
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views
Ke Chen, Ryan, Nikolai, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl
IROS 2020
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques
Siva Hari, Mike Sullivan, Timothy Tsai, Steve Keckler
arXiv
Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
ECCV 2020
There’s Plenty of Room at the Top: What Will Drive Computer Performance after Moore’s Law?
Charles E. Leiserson, Neil C. Thompson, Joel Emer, Bradley C. Kuszmaul, Butler W. Lampson, Daniel Sanchez , Tao B. Schardl
Science
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Chouske, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Steve Keckler
International Symposium on Computer Architecture (ISCA)
6-DOF Grasping for Target-driven Object Manipulation in Clutter
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox
ICRA 2020
Awards:
Best Paper Finalist in Robot Manipulation, ICRA 2020
Best Student Paper Finalist, ICRA 2020
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
Umar Iqbal, Pavlo Molchanov, Jan Kautz
IEEE Computer Vision and Pattern Recognition
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
2020 IEEE International Conference on Robotics and Automation (ICRA)
Online replanning in belief space for partially observable task and motion problems
Caelan Reed Garrett, Chris Paxton, Tomas Lozano-Perez, Leslie Kaebling, Dieter Fox
ICRA 2020
Motion reasoning for goal-based imitation learning
De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox
ICRA 2020
An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives
Benjamin Klenk, Ted Jiang, Greg Thorson, Larry Dennison
International Symposium on Computer Architecture (ISCA)
Neural Temporal Adaptive Sampling and Denoising
Jon Hasselgren, Jacob Munkberg, Marco Salvi, Anjul Patney, Aaron Lefohn
Computer Graphics Forum (Proceedings of Eurographics 2020)
Camera-to-Robot Pose Estimation from a Single Image
Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
ICRA 2020
How to close sim-real gap? transfer with segmentation!
Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz
arxiv
Toward Sim-to-Real Directional Semantic Grasping
Shariq Iqbal, Jonathan Tremblay, Thang To, Jia Cheng, Erik Leitch, Andy Campbell, Kirby Leung, Duncan McKay, Stan Birchfield
ICRA 2020
NWChem: Past, Present, and Future
Edoardo Aprà, Many others, Oreste Villa, Many others
The Journal of Chemical Physics
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Ankur Handa, Karl Van Wyk, Wei Yang, Jacky Liang, Yu-Wei Chao, Qian Wan, Stan Birchfield, Nathan Ratliff, Dieter Fox
ICRA 2020
Estimating Silent Data Corruption Rates Using a Two-Level Model
Siva Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip Shirvani, Paul Racunas, Joel Emer, Steve Keckler
arXiv
ML-driven Malware that Targets AV Safety
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
arXiv
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
IEEE Micro (Issue: Top Picks of the 2019 Computer Architecture Conferences)
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
AAAI 2020
BYOC: A "Bring Your Own Core" Framework for Heterogeneous-ISA Research
Jonathan Balkind, Katie Lim, Michael Schaffner, Fei Gao, Grigory Chirkov, Ang Li, Alexey Lavrov, Tri M. Nguyen, Yaosheng Fu, Florian Zaruba, Kunal Gulati, Luca Benini, David Wentzlaf
International Conference on Architectural Support for Programming Languages and…
Genome Variant Calling with a Deep Averaging Network
Nikolai Yakovenko, Avantika Lal, Johnny Israeli, Bryan Catanzaro
Arxiv
Safecracker: Leaking Secrets through Compressed Caches
Po-An Tsai, Andres Sanchez, Christopher W. Fletcher, Daniel Sanchez
International Conference on Architectural Support for Programming Languages and…
Award:
IEEE Micro Top Picks in Computer Architecture
RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi
arXiv
Feature Map Vulnerability Evaluation in CNNs
Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler
Workshop on Secure and Resilient Autonomy
NRMVS: Non-Rigid Multi-view Stereo
Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Niessner , Charles Loop, Marc Stamminger, Jan Kautz
IEEE Winter Conference on Applications of Computer Vision (WACV ’20)
Prescription AR: a fully-customized prescription-embedded augmented reality display
Jui-Yi Wu, Jonghyun Kim
Optics Express
SymGAN: Orientation Estimation without Annotation for Symmetric Objects
Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander Berg, Dieter Fox
WACV
Neurreg: Neural registration and its application to image segmentation
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
WACV
HarDNN: Feature Map Vulnerability Evaluation in CNNs
Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Mike Sullivan, Timothy Tsai, Steve Keckler
arXiv
HMG: Extending Cache Coherence Protocols Across Modern Hierarchical Multi-GPU Systems
Xiaowei Ren, Daniel Lustig, Evgeny Bolotin, Aamer Jaleel, Oreste Villa, David Nellans
International Symposium on High Performance Computer Architecture (HPCA)
Speculative Reconvergence for Improved SIMT Efficiency
Sana Damani, Daniel Johnson, Mark Stephenson, Eddie Yan, Olivier Giroux, Michael McKeown, Steve Keckler
International Symposium on Code Generation and Optimization
Eccentricity Effects on Blur and Depth Perception
Qi Sun, Fu-Chung Huang, Li-Yi Wei, David Luebke, Arie Kaufman, Joohwan Kim
Optics Express
Reference-Noise Compensation Scheme for Single- Ended Package-to-Package Links
Xi Chen, Nikola Nedovic, Stephen Tell, Sudhir Kudva, Brian Zimmer, Trey Greer, John Poulton, Sanquan Song, Walker Turner, John Wilson, Tom Gray
2020 International Solid-State Circuits Conference
Toward Standardized Classification of Foveated Displays
Josef Spjut, Ben Boudaoud, Jonghyun Kim, Trey Greer, Rachel Albert, Michael Stengel, Kaan Akşit, David Luebke
IEEE Transactions on Visualization and Computer Graphics “Presented at IEEE VR …
On the Distance between Two Neural Networks and the Stability of Learning
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
Neural Information Processing Systems (NeurIPS) 2020
ABCDPlace: Accelerated Batch-based Concurrent Detailed Placement on Multi-threaded CPUs and GPUs
Yibo Lin, Wuxi Li, Jiaqi Gu, Mark Ren, Brucek Khailany, David Z. Pan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (…
Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
IEEE Transactions on Pattern Analysis and Machine Intelligence
Patch scanning displays: spatiotemporal enhancement for displays
Kaan Akşit
OSA Optics Express
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas Breuel, Hongdong Li, Jan Kautz
arXiv
Improving Deep Stereo Network Generalization with Geometric Priors
Jialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, Jan Kautz
arXiv
A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm
Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany
IEEE Journal of Solid-State Circuits (JSSC)
Award:
JSSC 2020 Best Paper award
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Mark Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
ASP-DAC 2020
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network
Zhiyao Xie, Mark Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen
ASP-DAC 2020

2019

Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila
NeurIPS 2019
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang
Neural Information Processing Systems (NeurIPS) 2019
Few-Shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
NeurIPS
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila
NeurIPS 2019
Dance to Music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
NeurIPS
Joint Optimization for Cooperative Image Captioning
Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
International conference on computer vision (ICCV)
Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
International Conference for High-Performance Computing, Networking, Storage, a…
Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz
Josef Spjut, Ben Boudaoud, Kamran Binaee, Jonghyun Kim, Zander Majercik, Morgan McGuire, David Luebke, Joohwan Kim
Siggraph Asia Technical Briefs
Legate NumPy: Accelerated and Distributed Array Computing
Michael Bauer, Michael Garland
The International Conference for High Performance Computing, Networking, Storag…
MAGNet: A Modular Accelerator Generator for Neural Networks
Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany
International Conference On Computer Aided Design (ICCAD)
Content-Consistent Generation of Realistic Eyes with Style
Marcel Bühler , Seonwook Park, Shalini De Mello, Xucong, Otmar Hilliges
International Conference on Computer Vision Workshop (ICCVW) 2019
Award:
Winner (1st place) Synthetic Eye Generation Challenge
Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs
Yannan Nellie Wu, Joel Emer, Vivienne Sze
International Conference on Computer Aided Design (ICCAD)
Neural Inverse Rendering of an Indoor Scene from a Single Image
Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz
IEEE International Conference on Computer Vision (ICCV 2019)
Highly-scalable, Physics-informed GANs for Learning Solutions of Stochastic PDEs
Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis
arXiv
Few-Shot Adaptive Gaze Estimation
Seonwook Park, Shalini De Mello, Pavlo Molchanov, Umar Iqbal, Otmar Hilliges, Jan Kautz
International Conference on Computer Vision (ICCV) 2019
Award:
Oral presentation
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wong, Xiaodong Yang
ICCV 2019
Extreme View Synthesis
Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz
IEEE International Conference of Computer Vision
Few-Shot Unsupervised Image-to-Image Translation
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
ICCV
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
ICCV
SENSE: A Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz
International Conference in Computer Vision
Confidence Regularized Self-Training
Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
IEEE/CVF International Conference on Computer Vision (ICCV) 2019 (Oral)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
ICCV
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian, Clemens Eppner, Dieter Fox
ICCV 2019
Neural Turtle Graphics for Modeling City Road Layouts
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
ICCV
An Alarm System for Segmentation Algorithm Based on Shape Model
Fengze Liu, Yingda Xia, Dong Yang, Alan Yuille, Daguang Xu
ICCV 2019
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach.
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
International Symposium on Microarchitecture (MICRO)
Award:
IEEE Micro Top Picks in Computer Architecture
NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs
Oreste Villa, Mark Stephenson, David Nellans, Steve Keckler
International Symposium on Microarchitecture (MICRO)
ExTensor: An Accelerator for Sparse Tensor Algebra
Kartik Hegde, Hadi Asghari-Moghaddam, Michael Pellauer, Neal Crago, Aamer Jaleel, Edgar Solomonik, Joel Emer, Christopher W. Fletcher
International Symposium on Microarchitecture (MICRO)
Award:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture
Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler
International Symposium on Microarchitecture (MICRO)
Awards:
Best Paper award
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
4D CNN for semantic segmentation of cardiac volumetric sequences
Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth
MICCAI 2019
FirstPersonScience: Quantifying Psychophysics for First Person Shooter Tasks
Josef Spjut, Ben Boudaoud, Kamran Binaee, Zander Majercik, Morgan McGuire, Joohwan Kim
UCI Esports Conference
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set
Clemens Eppner, Arsalan Mousavian, Dieter Fox
The International Symposium of Robotics Research (ISSR)
Cardiac Segmentation of LGE MRI with Noisy Labels
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
MICCAI 2019
Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sebastien Ourselin, M. Jorge Cardoso, Andrew Feng
MICCAI 2019
Exascale Deep Learning for Scientific Inverse Problems
Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson
arXiv
Reading Speed Decreases for Fast Readers Under Gaze-Contingent Rendering
Rachel Albert, Angelica Godinez, David Luebke
ACM Symposium on Applied Perception 2019 Article No. 21
Learning Propagation for Arbitrarily-Structured Data
Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz
International Conference on Computer Vision (ICCV) 2019
Few-Shot Viewpoint Estimation
Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz
British Machine Vision Conference (BMVC) 2019
Video Stitching for Linear Camera Arrays
Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
British Machine Vision Conference
Esports Arms Race: Latency and Refresh Rate for Competitive Gaming Tasks
Joohwan Kim, Josef Spjut, Morgan McGuire, Zander Majercik, Ben Boudaoud, Rachel Albert, David Luebke
Journal of Vision
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator Designed with a High-Productivity VLSI Methodology
Rangharajan Venkatesan, Sophia Shao, Brian Zimmer, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany
Hot Chips: A Symposium on High Performance Chips
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta
IEEE MICRO: Special Edition on Machine Learning Acceleration
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick McCormick, Alex Aiken
arXiv
Representing robot task plans as robust logical-dynamical systems
Chris Paxton, Clemens Eppner, Nathan Ratliff, Dieter Fox
IROS 2019
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta
arXiv
Foveated AR: Dynamically-Foveated Augmented Reality Display
Jonghyun Kim, Youngmo Jeong, Michael Stengel, Kaan Akşit, Rachel Albert, Ben Boudaoud, Trey Greer, Joohwan Kim, Ward Lopes, Zander Majercik, Peter Shirley, Josef Spjut, Morgan McGuire, David Luebke
SIGGRAPH 2019 Technical Paper
Matching Prescription & Visual Acuity: Towards AR for Humans
Jonghyun Kim, Michael Stengel, Jui-Yi Wu, Ben Boudaoud, Josef Spjut, Kaan Akşit, Rachel Albert, Youngmo Jeong, Trey Greer, Ward Lopes, Zander Majercik, Peter Shirley, Morgan McGuire, David Luebke
SIGGRAPH 2019 Emerging Technology
Award:
Best in Show Award - Emerging Technology in SIGGRAPH 2019
GPU-Accelerated Atari Emulation for Reinforcement Learning
Steven Dalton, Iuri Frosio, Michael Garland
Arxiv
Temporally Dense Ray Tracing
Pontus Andersson, Jim Nilsson, Marco Salvi, Josef Spjut, Tomas Akenine-Möller
High Performance Graphics 2019
Deep Hierarchical Multi-label Classification of Chest X-ray Images
Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison
Medical Imaging with Deep Learning
Dynamic Many-Light Sampling for Real-Time Ray Tracing
Pierre Moreau, Matt Pharr, Petrik Clarberg
Proceedings of High Performance Graphics 2019
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors
Saurabh Jha, Timothy Tsai, Siva Hari, Mike Sullivan, Zbigniew Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
arXiv
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Hari, Mike Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
arXiv
GPU Snapshot: Checkpoint Offloading for GPU-Dense Systems
Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
International Conference on Supercomputing
On the Trend of Resilience for GPU-Dense Systems
Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
International Conference on Dependable Systems and Networks, Supplemental (DSN-…
Award:
Best of SELSE (Workshop on Silicon Errors in Logic - System Effects)
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha, Subho Banerjee, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
International Conference on Dependable Systems and Networks (DSN)
Adaptive Memory-Side Last-Level GPU Caching
Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout
International Symposium on Computer Architecture (ISCA)
Translation Ranger: Operating System Support for Contiguity-Aware TLBs
Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee
International Symposium on Computer Architecture (ISCA)
SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
Mona Jalal, Josef Spjut, Ben Boudaoud, Margrit Betke
WiCV
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
IEEE CVPR 2019 (Oral)
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwan
CVPR 2019
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
IEEE CVPR 2019
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz
CVPR 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
CVPR
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz
IEEE CVPR 2019 (Oral)
Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik-Learned Miller, Jan Kautz
Computer Vision and Pattern Recognition (CVPR), 2019
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang , Jan Kautz
CVPR 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
IEEE CVPR 2019
Joint Discriminative and Generative Learning for Person Re-identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
CVPR
Importance Estimation for Neural Network Pruning
Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
CVPR2019
SNAP: A 1.67 – 21.55 TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang
Symposia on VLSI Technology and Circuits (VLSI)
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm
Brian Zimmer, Rangharajan Venkatesan, Sophia Shao, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany
Symposium on VLSI Circuits
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Shounak Dhar, Wuxi Li, Mark Ren, Brucek Khailany, David Z. Pan
Design Automation Conference (DAC) 2019
Award:
DAC 2019 Best Paper Award
High Performance Graph Convolutional Networks with Applications in Testability Analysis
Yuzhe Ma, Mark Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu
Design Automation Conference (DAC)
Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference
Angad S. Rekhi, Brian Zimmer, Nikola Nedovic, Nigxi Liu, Rangharajan Venkatesan, Miaorong Wang, Brucek Khailany, William Dally, Tom Gray
Design Automation Conference (DAC)
PRIMAL: Power Inference using Machine Learning
Yuan Zhou, Mark Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang
Design Automation Conference (DAC)
A Fine-Grained GALS SoC with Pausible Adaptive Clocking in 16 nm FinFET
Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Stephen Tell, Brian Zimmer, Tezaswi Raja, Kevin Zhou, William Dally, Brucek Khailany
ASYNC 2019
Award:
ASYNC 2019 Best Paper Award
Dynamic Diffuse Global Illumination with Ray-Traced Irradiance Fields
Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, Morgan McGuire
Journal of Computer Graphics Techniques
Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality
George Alex Koulieris, Kaan Akşit, Michael Stengel, Rafał K. Mantiuk, Katerina Mania
Eurographics 2019
NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation
Joohwan Kim, Michael Stengel, Alexander Majercik, Shalini De Mello, David Dunn, Samuli Laine, Morgan McGuire, David Luebke
ACM Conference on Human-Computer-Interaction (CHI) 2019
Robust Learning of Tactile Force Estimation through Robot Interaction
Balakumar Sundaralingam, Alexander Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan Ratliff, Dieter Fox
ICRA 2019
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield
ICRA 2019
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler
arXiv
Voltage-Follower Coupling Quadrature Oscillator with Embedded Phase-Interpolator in 16nm FinFET
Xi Chen, Sanquan Song, John Poulton, Nikola Nedovic, Brian Zimmer, Stephen Tell, Tom Gray
IEEE Custom Integrated Circuits Conference 2019
Security Verification through Automatic Hardware-Aware Exploit Synthesis: The CheckMate Approach.
Caroline Trippel, Daniel Lustig, Margaret Martonosi
IEEE Micro (Issue: Top Picks of the 2018 Computer Architecture Conferences)
Nimble Page Management for Tiered Memory Systems
Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee
International Conference on Architectural Support for Programming Languages and…
A Formal Analysis of the NVIDIA PTX Memory Consistency Model.
Daniel Lustig, Sameer Sahasrabuddhe, Olivier Giroux
International Conference on Architectural Support for Programming Languages and…
Award:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration
Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Crago, Kartik Hegde, Rangharajan Venkatesan, Steve Keckler, Christopher W. Fletcher, Joel Emer
International Conference on Architectural Support for Programming Languages and…
Award:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
arXiv
Learning Linear Transformations for Fast Image and Video Style Transfer
Xueting Li, Sifei Liu, Ming-Hsuan Yang, Jan Kautz
CVPR 2019
On the Trend of Resilience for GPU-Dense Systems
Kyushick Lee, Mike Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE)
Award:
Award paper
Towards Analytically Evaluating the Error Resilience of GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Siva Hari, Mike Sullivan, Timothy Tsai
IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE)
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sankug Lym, Donghyuk Lee, Niladrish Chatterjee, Mike O'Connor, Mattan Erez
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Manufacturing Application-Driven Foveated Near-Eye Displays
Kaan Akşit, Praneeth Chakravarthula, Kishore Rathinavel, Youngmo Jeong, Rachel Albert, Henry Fuchs, David Luebke
IEEE transactions on visualization and computer graphics
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model
Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Mark Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu
Design, Automation and Test in Europe
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Steve Keckler, Joel Emer
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Improving Temporal Antialiasing with Adaptive Ray Tracing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire
Ray Tracing Gems
Ray Tracing Gems
Eric Haines, Tomas Akenine-Möller
Book, published by Apress.
Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections
Alexander Reshetov
Ray Tracing Gems
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Yuval Atzmon, Gal Chechik
Computer Vision and Pattern Recognition (CVPR) 2019
DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems
Aamer Jaleel, Eiman Ebrahimi, Sam Duncan
ACM Transactions on Architecture and Code Optimization (TACO)
Informative Object Annotations: Tell Me Something I Don't Know
Lior Bracha, Gal Chechik
Computer Vision and Pattern Recognition
Precision Improvements for Ray/Sphere Intersection
Eric Haines, Johannes Gunther, Tomas Akenine-Möller
Ray Tracing Gems
A Fast and Robust Method for Avoiding Self-Intersection
Carsten Wächter, Nikolaus Binder
Ray Tracing Gems
Texture Level of Detail Strategies for Real-Time Ray Tracing
Tomas Akenine-Möller, Jim Nilsson, Magnus Andersson, Colin Barré-Brisebois, Robert Toth, Tero Karras
Ray Tracing Gems
What is a Ray?
Peter Shirley, Ingo Wald, Tomas Akenine-Möller, Eric Haines
Ray Tracing Gems
Simple Environment Map Filtering Using Ray Cones and Ray Differentials
Tomas Akenine-Möller, Jim Nilsson
Ray Tracing Gems
Efficient Generation of Points that Satisfy Two-Dimensional Elementary Intervals
Matt Pharr
Journal of Computer Graphics Techniques
Throughput-oriented GPU memory allocation
Isaac Gelado, Michael Garland
Proceedings of the 24th Symposium on Principles and Practice of Parallel Progra…
Understanding the Future of Energy Efficiency in Multi-Module GPUs.
Akhil Arunkumar, Evgeny Bolotin, David Nellans, Carole-Jean Wu
International Symposium on High Performance Computer Architecture (HPCA)
Massively Parallel Path Space Filtering
Nikolaus Binder, Sascha Fricke, Alex Keller
arXiv
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Greg Heinrich, Iuri Frosio
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Cheng-Kuan Chen, Zhu-Feng Pan, Ming-Yu Liu, Min Sun
AAAI
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
TPAMI
A 1.17-pJ/b, 25-Gb/s/pin Ground-Referenced Single-Ended Serial Link for Off- and On-Package Communication Using a Process- and Temperature-Adaptive Voltage Regulator
John Poulton, John Wilson, Walker Turner, Brian Zimmer, Xi Chen, Sudhir Kudva, Sanquan Song, Stephen Tell, Nikola Nedovic, Wenxu Zhao, Sunil Sudhakaran, Tom Gray, William Dally
IEEE JOURNAL OF SOLID-STATE CIRCUITS
A Fusion Approach for Multi-Frame Optical Flow Estimation
Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz
IEEE Winter conference of Applications of Computer Vision (WACV)
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
Nikolaus Binder, Alex Keller
arXiv

2018

Fluidic Elastomer Actuators for Haptic Interactions in Virtual Reality
Jose Barreiros, Houston Claure, Bryan Peele, Omer Shapira, Josef Spjut, David Luebke, Malte Jung, Robert Shepherd
IEEE Robotics and Automation Letters
Localization-Aware Active Learning for Object Detection
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
ACCV
Learning towards Minimum Hyperspherical Energy
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
Conference on Neural Information Processing Systems (NeurIPS) 2018
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
NIPS
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
Neural Information processing systems (NeurIPS)
Context-aware Synthesis and Placement of Object Instances
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
NIPS
Light-Weight Protocols for Wire-Speed Ordering
Hans Eberle, Larry Dennison
Proceedings of the 30th International Conference for High Performance Computing…
Optimizing Software-Directed Instruction Replication for GPU Error Detection
Abdulrahman Mahmoud, Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler
International Conference for High-Performance Computing, Networking, Storage a…
Dynamic Tracing: Memoization of Task Graphs for Dynamic Task-based Runtimes
Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken
International Conference for High Performance Computing and Communications (SC'…
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
International Conference for High Performance Computing and Communications (SC'…
Evaluating and Accelerating High-Fidelity Error Injection for HPC
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
The International Conference on High Performance Computing, Networking, Storage…
Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage
Matthias Blumrich, Ted Jiang, Larry Dennison
Proceedings of the International Conference for High Performance Computing, Net…
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Nikolaus Binder, Alex Keller
arXiv
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
Nikolaus Binder, Alex Keller
arXiv
RouteNet: Routability Prediction for Mixed-size Designs using Convolutional Neural Network
Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Mark Ren, Shao-Yun Fang, Yiran Chen, Hu Jiang
International Conference On Computer Aided Design
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors
Saurabh Jha, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
Third IEEE International Workshop on Automotive Reliability & Test
PipeProof: Automated Memory Consistency Proofs for Microarchitectural Specifications
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Aarti Gupta
International Symposium on Microarchitecture (MICRO)
Awards:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Best Paper nominee
SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection
Michael B. Sullivan, Siva Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler
The International Symposium on Microarchitecture (MICRO)
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data
Aayush Prakash, Shaad Boochoon, Mark Brophy, David Acuna, Eric Cameracci, Gavriel State, Omer Shapira, Stan Birchfield
ICRA 2019
CheckMate: Automated Synthesis of Hardware Exploits and Security Litmus Tests
Caroline Trippel, Daniel Lustig, Margaret Martonosi
International Symposium on Microarchitecture (MICRO)
Award:
IEEE Micro Top Picks in Computer Architecture
Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism
Mark C. Jeffrey, Victor A. Ying, Suvinay Subramanian, Hyun Ryong Lee, Joel Emer, Daniel Sanchez
International Symposium on Microarchitecture (MICRO)
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors
Vladimir Kiriansky, Ilia Lebedev, Saman Amarasinghe, Srinivas Devadas, Joel Emer
International Symposium on Microarchitecture (MICRO)
Combining HW/SW Mechanisms to Improve NUMA Performance of Multi-GPU Systems
Vinson Young, Aamer Jaleel, Evgeny Bolotin, Eiman Ebrahimi, David Nellans, Oreste Villa
International Symposium on Microarchitecture (MICRO)
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
arXiv
Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs
Neal Crago, Mark Stephenson, Steve Keckler
ACM Transactions on Architecture and Code Optimization (TACO)
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Bala Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield
Conference on Robot Learning (CoRL) 2018
Statistical Nearest Neighbors for Image Denoising
Iuri Frosio, Jan Kautz
IEEE Transaction on Image Processing, Feb. 2019
Software-Directed Techniques for Improved GPU Register File Utilization
Dani Voitsechov, Arslan Zulfiqar, Mark Stephenson, Mark Gebhart, Steve Keckler
ACM Transactions on Architecture and Code Optimization (TACO)
A Ray-Box Intersection Algorithm and Efficient Dynamic Voxel Rendering
Zander Majercik, Cyril Crassin, Peter Shirley, Morgan McGuire
Journal of Computer Graphics Techniques
Hand Pose Estimation via Latent 2.5 D Heatmap Regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel, Juergen Gall, Jan Kautz
ECCV2018
CRUM: Checkpoint-Restart Support for CUDA's Unified Memory
Rohan Garg, Apoorve Mohan, Michael B. Sullivan, Gene Cooperman
The International Conference on Cluster Computing (IEEE CLUSTER)
FocusAR: Auto-focus Augmented Reality Eyeglasses for both Real World and Virtual Imagery
Praneeth Chakravarthula, David Dunn, Kaan Akşit, Henry Fuchs
IEEE TVCG
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, Jan Kautz
ECCV 2018
Separating Reflection and Transmission Images in the Wild
Patrick Wieschollek, Orazio Gallo, Jinwei Gu, Jan Kautz
European Conference of Computer Vision (ECCV)
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, Jan Kautz
European Conference on Computer Vision (ECCV 2018)
Switchable Temporal Propagation Network
Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani
European Conference on Computer Vision (ECCV) 2018
Simultaneous Edge Alignment and Learning
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
European Conference on Computer Vision (ECCV) 2018
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu, Fitsum A. Reda, Kevin Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
ECCV
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang
European Conference on Computer Vision (ECCV) 2018
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
Ben Eckart, Kihwan Kim, Jan Kautz
European Conference on Computer Vision (ECCV 2018)
Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz
ECCV
A Closed-form Solution to Photorealistic Image Stylization
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz
ECCV
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
Ben Eckart, Kihwan Kim, Jan Kautz
International Conference on 3D Vision (3DV) 2018
Superpixel Sampling Networks
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
European Conference on Computer Vision (ECCV), 2018
3D MRI Brain Tumor Segmentation Using Autoencoder Regularization
Andriy Myronenko
MICCAI, BrainLes, 2018
Machine Learning and Rendering
Alex Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi
ACM SIGGRAPH 2018 Courses
Towards Virtual Reality Infinite Walking: Dynamic Saccadic Redirection
Qi Sun, Anjul Patney, Li-Yi Wei, Omer Shapira, Jingwan Lu, Paul Asente, Suwen Zhu, Morgan McGuire, David Luebke, Arie Kaufman
ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2018
Slang: Language Mechanisms for Extensible Real-time Shading Systems
Yong He, Theresa Foley, Kayvon Fatahalian
Proceedings of ACM SIGGRAPH 2018
Steerable application-adaptive near eye displays
Kishore Rathinavel, Praneeth Chakravarthula, Kaan Akşit, Josef Spjut, Ben Boudaoud, Turner Whitted, David Luebke, Henry Fuchs
Proceeding SIGGRAPH '18 ACM SIGGRAPH 2018 Emerging Technologies
Correlation-Aware Semi-Analytic Visibility for Antialiased Rendering
Cyril Crassin, Chris Wyman, Morgan McGuire, Aaron Lefohn
HPG ’18: High-Performance Graphics
Adaptive Temporal Antialiasing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire
High Performance Graphics
Phantom Ray-Hair Intersector
Alexander Reshetov, David Luebke
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Region Growing Curriculum Generation for Reinforcement Learning
Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav Sukhatme
arXiv
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
Proc. ICML 2018
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
arXiv
Approximate svBRDF Estimation From Mobile Phone Video
Rachel Albert, Dorian Yao Chan, Dan B Goldman, James F. O'Brien
Eurographics Symposium on Rendering 2018
Modeling Soft Error Propagation in Programs
Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai
International Conference on Dependable Systems and Networks (DSN)
Hamartia: A Fast and Accurate Error Injection Framework
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
The International Conference on Dependable Systems and Networks Workshops (DSN-…
A Modular Digital VLSI Flow for High-Productivity SoC Design
Brucek Khailany, Evgeni Krimer, Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matt Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, Yanqing Zhang, Brian Zimmer
Design Automation Conference (DAC)
Light-weight Head Pose Invariant Gaze Tracking
Rajeev Ranjan, Shalini De Mello, Jan Kautz
IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) 2018
Award:
Best Paper (runner up) Workshop on Analysis and Modeling of Faces and Gestures
Learning Superpixels with Segmentation-Aware Affinity Losse
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz
CVPR
What Your DRAM Power Models Aren’t Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
ACM International Conference on Measurement and Analysis of Computer Systems (S…
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz
CVPR
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz
CVPR 2018
Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz
CVPR
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Pavlo Molchanov, Jan Kautz, Sina Honari
Conference on Computer Vision and Pattern Recognition
Making Convolutional Networks Recurrent for Visual Sequence Learning
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu, Zhiding Yu, Srikumar Ramalingam
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
CVPR
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay, Thang To, Stan Birchfield
CVPR 2018 Workshop on Real World Challenges and New Benchmarks for Deep Learnin…
Decoupled Networks
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Hardware-Enabled Artificial Intelligence
William Dally, Tom Gray, John Poulton, Brucek Khailany, John Wilson, Larry Dennison
Symposia on VLSI Technology and Circuits
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
CVPR
Deep Semantic Face Deblurring
Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang
IEEE Computer Vision and Pattern Recognition (CVPR)
Geometry-Aware Learning of Maps for Camera Localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz
CVPR 2018 (Spotlight)
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz
CVPR 2018 (oral)
Isometry: A Path-Based Distributed Data Transfer System
Zhihao Jia, Sean Treichler, Galen Shipman, Patrick McCormick, Alex Aiken
International Conference on Supercomputing (ICS)
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, Dieter Fox
Robotics: Science and Systems (RSS)
ACCORD: Enabling Associativity for Gigascale DRAM Caches by Coordinating Way-Install and Way-Prediction
Vinson Young, Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
International Symposium on Computer Architecture (ISCA)
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijayumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA)
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Kartik Hegde, Jiyong Yu, Rohit Agrawal, Mengjia Yan, Michael Pellauer, Christopher W. Fletcher
International Symposium on Computer Architecture (ISCA)
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap to Enhance Memory Optimization
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA)
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Steve Keckler, Yuan Xie
arXiv
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe Pebay, Janine C. Bennett
International Parallel and Distributed Processing Symposium (IPDPS) - workshops
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
International Parallel and Distributed Processing Symposium (IPDPS)
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield
IEEE International Conference on Robotics and Automation (ICRA) 2018
Combining Analytic Direct Illumination and Stochastic Shadows
Eric Heitz, Stephen Hill, Morgan McGuire
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Full-Stack Memory Model Verification with TriCheck
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
IEEE Micro (Issue: Top Picks of the 2017 Computer Architecture Conferences)
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Yuval Atzmon, Gal Chechik
The conference on uncertainty in artificial intelligence (UAI 2018)
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
arXiv
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz
IEEE International Conference on Computational Photography (ICCP)
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
ICLR 2018
A Variable Shape and Variable Stiffness Controller for Haptic Virtual Interactions
Benjamin C. Mac Murray, Bryan N. Peele, Patricia Xu, Josef Spjut, Omer Shapira, David Luebke, Robert F. Shepherd
RoboSoft
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield
CVPR 2018 Workshop on Autonomous Driving
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz
International Conference on Learning Representations, Workshop
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield
CVPR 2018 Workshop on Autonomous Driving
A Switching Linear Regulator Based on a Fast-Self-Clocked Comparator with Very Low Probability of Meta-stability and a Parallel Analog Ripple Control Module
Sudhir Kudva, Sanquan Song, John Poulton, John Wilson, Wenxu Zhao, Tom Gray
Custom Integrated Circuits Conference
Ground-Referenced Signaling for Intra-Chip and Short-Reach Chip-to-Chip Interconnects
Walker Turner, John Poulton, John Wilson, Xi Chen, Stephen Tell, Matt Fojtik, Trey Greer, Brian Zimmer, Sanquan Song, Nikola Nedovic, Sudhir Kudva, Sunil Sudhakaran, Rizwan Bashirullah, Wenxu Zhao, William Dally, Tom Gray
Custom Integrated Circuits Conference
DUO: Exposing On-chip Redundancy to Rank-Level ECC for High Reliability
Seong-Lyong Gong, Jungrae Kim, Michael B. Sullivan, Howard David, Mattan Erez
International Symposium on High Performance Computer Architecture (HPCA)
Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study
Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang
EDBT 2018
Riemannian Motion Policies
Nathan Ratliff, Jan Issac, Daniel Kappler, Stan Birchfield, Dieter Fox
arXiv
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
International Symposium on High Performance Computer Architecture (HPCA)
Award:
Best Paper nominee
Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks
Ching-En Lee, Yakun Sophia Shao, Jie-Fang Zhang, Angshuman Parashar, Joel Emer, Steve Keckler, Zhengya Zhang
SysML Conference
MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols
Caroline Trippel, Daniel Lustig, Margaret Martonosi
arXiv
A 1.17pJ/b 25Gb/s/pin Ground-Referenced Single Ended Serial Link for Off- and On-Package Communication in 16nm CMOS Using a Process- and Temperature-Adaptive Voltage Regulator
John Wilson, Walker Turner, John Poulton, Brian Zimmer, Xi Chen, Sanquan Song, Stephen Tell, Nikola Nedovic, Wenxu Zhao, Sunil Sudhakaran, Tom Gray, William Dally
ISSCC
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
AAAI
Learning Adaptive Parameter Tuning for Image Processing
Jingming Dong, Iuri Frosio, Jan Kautz
Electronic Imaging 2018, Image Processing: Algorithms and Systems XVI, Burlinga…

2017

Parallel Complexity of Forward and Backward Propagation
Maxim Naumov
arXiv:1712.06577 [cs.LG]
Integrating External Resources with a Task-Based Programming Model
Zhihao Jia, Sean Treichler, Galen Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick McCormick, Alex Aiken
International Conference on High Performance Computing (HiPC)
Machine Learning and Integral Equations
Ken Dahm, Alex Keller
Machine Learning and Integral Equations
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
arXiv:1712.02029 [cs.LG]
On Nearest Neighbors in Non Local Means Denoising
Iuri Frosio, Jan Kautz
Neural Information Processing Systems (NIPS) 2017 Workshop on Nearest Neighbors…
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz
NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges in …
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, Jan Kautz
Conference on Neural Information Processing Systems (NIPS) 2017
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
NIPS
Near-Eye Varifocal Augmented Reality Display using See-Through Screens
Kaan Akşit, Ward Lopes, Jonghyun Kim, Peter Shirley, David Luebke
ACM Siggraph Asia 2017
Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics
Liang Shi, Fu-Chung Huang, Ward Lopes, Wojciech Matusik, David Luebke
ACM SIGGRAPH ASIA 2017
Perceptually-Guided Foveation for Light Field Displays
Qi Sun, Fu-Chung Huang, Joohwan Kim, Li-Yi Wei, David Luebke, Arie Kaufman
ACM SIGGRAPH ASIA 2017
Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
International Conference for High-Performance Computing, Networking, Storage, a…
Parallel Jaccard and Related Graph Clustering Techniques
Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov
Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for L…
A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis
Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler
Workshop on In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visu…
Low Communication FMM-Accelerated FFT on GPUs
Cris Cecka
The International Conference for High Performance Computing, Networking, Storag…
Control Replication: Compiling Implicit Parallelism to Efficient SPMD with Logical Regions
Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen Shipman, Patrick McCormick, Alex Aiken
 International Conference for High Performance Computing and Communications (SC…
Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
Guanpeng Li, Siva Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Steve Keckler
The International Conference for High Performance Computing, Networking, Storag…
Learning to Super-Resolve Blurry Face and Text Images
Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, Ming-Hsuan Yang
International Conference on Computer Vision
Semantic Video CNNs through Representation Warping
Raghudeep Gadde, Varun Jampani, Peter V. Gehler
International Conference on Computer Vision (ICCV'17)
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting
Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner
IEEE International Conference on Computer Vision (ICCV 2017)
A Lightweight Approach for On-the-Fly Reflectance Estimation
Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz
IEEE International Conference on Computer Vision (ICCV 2017)
Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Steve Keckler, William Dally
International Symposium on Microarchitecture (MICRO)
Detecting and Mitigating Data-Dependent DRAM Failures by Exploiting Current Memory Content
Samira Khan, Chris Wilkerson, Zhe Wang, Alaa R. Alameldeen, Donghyuk Lee, Onur Mutlu
International Symposium on Microarchitecture (MICRO)
Group online adaptive learning
Alon Zweig, Gal Chechik
Journal Machine Learning
Xylem: Enhancing Vertical Thermal Conduction in 3D Processor-Memory Stacks
Aditya Agrawal, Josep Torrellas, Sachin Idgunji
International Symposium on Microarchitecture (MICRO)
Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology
Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
International Symposium on Microarchitecture (MICRO)
Beyond the Socket: NUMA-Aware GPUs
Ugljesa Milic, Oreste Villa, Evgeny Bolotin, Akhil Arunkumar, Eiman Ebrahimi, Aamer Jaleel, Alex Ramirez, David Nellans
International Symposium on Microarchitecture (MICRO)
RTLCheck: Verifying Memory Consistency in RTL Designs
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Michael Pellauer
International Symposium on Microarchitecture (MICRO)
Award:
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Weak Memory Models with Matching Axiomatic and Operational Definitions
Sizhuo Zhang, Muralidaran Vijayaraghavan, Daniel Lustig, Arvind
arXiv
Cascaded Scene Flow Prediction using Semantic Segmentation
Zhile Ren, Deqing Sun, Jan Kautz, Erik B. Sudderth
International Conference on 3D Vision
Multiframe Scene Flow with Piecewise Rigid Motion
Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, Jan Kautz
IEEE International Conference on 3D Vision (3DV 2017)
BATMAN: Maximizing Bandwidth Utilization of Hybrid Memory Systems
Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
International Symposium on Memory Systems (MEMSYS)
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy, Alexey Kamenev, Jeffrey Smith, Stan Birchfield
IROS 2017
Latency Requirements for Foveated Rendering in Virtual Reality
Rachel Albert, Anjul Patney, David Luebke, Joohwan Kim
ACM Transactions on Applied Perception (TAP) - Special Issue SAP 2017
Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form
Maxim Naumov
arXiv:1709.06080 [cs.LG]
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao , Meng-Li Shi, Ming-Yu Liu, Min Sun
IJCAI
Shader Components: Modular and High Performance Shader Development
Yong He, Theresa Foley, Teguh Hofstee, Haomin Long, Kayvon Fatahalian
ACM Transactions on Graphics 36(4)
Varifocal Virtuality: A Novel Optical Layout for Near-Eye Display
Kaan Akşit, Ward Lopes, Jonghyun Kim, Josef Spjut, Peter Shirley, David Luebke
ACM Siggraph Emerging Technologies
Membrane AR: Varifocal, Wide-Field-of-View Augmented Reality Display from Deformable Membranes
David Dunn, Kaan Akşit, David Luebke
ACM Siggraph Emerging Technologies
Mixed-primary Factorization for Dual-frame Computational Displays
Fu-Chung Huang, David Pajak, Jonghyun Kim, Jan Kautz, David Luebke
ACM SIGGRAPH
Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion
Tero Karras, Timo Aila, Samuli Laine, Antti Herva, Jaakko Lehtinen
SIGGRAPH 2017
Stretchable Transducers for Kinesthetic Interactions in Virtual Reality
Robert Shepher, Bryan Peele, Benjamin Mac Murray, Jose Barreiros, Omer Shapira, Josef Spjut, David Luebke
SIGGRAPH Emerging Technologies
Interactive Stable Ray Tracing
Alessandro Dal Corso, Marco Salvi, Craig Kolb, Jeppe Revall Frisvad, Aaron Lefohn, David Luebke
Proceedings of High Performance Graphics (HPG '17)
Efficient Incoherent Ray Traversal on GPUs Through Compressed Wide BVHs
Henri Ylitie, Tero Karras, Samuli Laine
High-Performance Graphics 2017
Exploiting Budan-Fourier and Vincent’s Theorems for Ray Tracing 3D Bézier Curves
Alexander Reshetov
High-Performance Graphics 2017
Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination
Christoph Schied, Anton Kaplanyan, Chris Wyman, Anjul Patney, Chakravarty R. Alla Chaitanya, John Burgess, Shiqiu Liu, Carsten Dachsbacher, Aaron Lefohn, Marco Salvi
Proceedings of High Performance Graphics 2017
An Efficient Denoising Algorithm for Global Illumination
Michael Mara, Morgan McGuire, Benedikt Bitterli, Wojciech Jarosz
ACM SIGGRAPH / EuroGraphics High Performance Graphics 2017
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Networks
Jinwei Gu, Xiaodong Yang, Shalini De Mello, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360 Sports Videos
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
CVPR
Light Fields for Near-eye Displays
Fu-Chung Huang
IEEE COMSOC MMTC Communications - Frontiers
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
Samuli Laine, Tero Karras, Timo Aila, Antti Herva, Shunsuke Saito, Ronald Yu, Hao Li, Jaakko Lehtinen
Symposium on Computer Animation 2017
Polarimetric Multi-view Stereo
Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz
IEEE CVPR 2017
Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
Chakravarty R. Alla Chaitanya, Anton Kaplanyan, Christoph Schied, Marco Salvi, Aaron Lefohn, Derek Nowrouzezahrai, Timo Aila
SIGGRAPH 2017
Fusing State Spaces for Markov Chain Monte Carlo Rendering
Hisanari Otsu, Anton Kaplanyan, Johannes Hanika, Carsten Dachsbacher, Toshiya Hachisuka
SIGGRAPH 2017
Computational Zoom: A Framework for Post-Capture Image Composition
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
ACM SIGGRAPH
Reconstructing Intensity Images from Binary Spatial Gradient Cameras
Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, Jan Kautz
IEEE Workshop on Embedded Vision (CVPR)
Generating stratified random lines in a square
Peter Shirley, Chris Wyman
Journal of Computer Graphics Techniques
MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability
Akhil Arunkumar , Evgeny Bolotin, Benjamin Cho, Ugljesa Milic , Eiman Ebrahimi, Oreste Villa, Aamer Jaleel, Carole-Jean Wu , David Nellans
International Symposium on Computer Architecture (ISCA)
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally
International Symposium on Computer Architecture (ISCA)
Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism
Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez
International Symposium on Computer Architecture (ISCA)
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
Procedia Computer Science (Elsevier)
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms
Kevin Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
ACM Conference on Measurement and Analysis of Computer Systems (SIGMETRICS 2017)
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms
Donghyuk Lee, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu
ACM Conference on Measurement and Analysis of Computer Systems (SIGMETRICS 2017)
Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors
Benjamin Klenk, Holger Fröning, Hans Eberle, Larry Dennison
32nd IEEE International Parallel and Distributed Processing
Award:
Best Paper Award
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
arXiv
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally
arXiv
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
arXiv
The Iray Light Transport Simulation and Rendering System
Alex Keller, Carsten Wächter, Matthias Raab, Daniel Seibert, Dietger van Antwerpen, Johann Korndörfer, Lutz Kettner
arXiv
SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer
International Symposium on Performance Analysis of Systems and Software (ISPASS)
Consistent Video Filtering for Camera Arrays
Nicolas Bonneel, James Tompkin, Deqing Sun, Oliver Wang, Kalyan Sunkavalli, Sylvain Paris, Hanspeter Pfister
Computer Graphics Forum (Eurographics 2017)
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
International Conference on Learning Representations (ICLR 2017)
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Computer Vision and Pattern Recognition
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie
Computer Vision and Pattern Recognition
Automated Synthesis of Comprehensive Memory Model Litmus Test Suites
Daniel Lustig, Andrew Wright, Alexandros Papakonstantinou, Olivier Giroux
International Conference on Architectural Support for Programming Languages and…
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
International Conference on Architectural Support for Programming Languages and…
Award:
IEEE Micro Top Picks in Computer Architecture
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz, Mohammad Babaeizadeh
Proceeding of ICLR 2017
Wide Field Of View Varifocal Near-Eye Display Using See-Through Deformable Membrane Mirrors
David Dunn, Kaan Akşit, David Luebke
IEEE Transactions on Visualization and Computer Graphics
Parallel Depth-First Search for Directed Acyclic Graphs
Maxim Naumov, Alysson Vrielink, Michael Garland
Technical Report NVR-2017-001
Loss Functions for Image Restoration with Neural Networks
Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz
IEEE Transactions on Computational Imaging
Phenomenological Transparency
Morgan McGuire, Michael Mara
IEEE Transactions on Visualization and Computer Graphics
SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies
Hasan Hassan, Nandita Vijaykumar, Samira Khan, Saugata Ghose, Kevin Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu
International Symposium on High Performance Computer Architecture (HPCA)
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel Johnson, Minsoo Rhu, Steve Keckler, William Dally
International Symposium on High Performance Computer Architecture (HPCA)
Real-Time Global Illumination using Precomputed Light Field Probes
Morgan McGuire, Mike Mara, Derek Nowrouzezahrai, David Luebke
ACM Symposium on Interactive 3D Graphics and Games
Hashed Alpha Testing
Chris Wyman, Morgan McGuire
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D'17)
Learning Light Transport the Reinforced Way
Ken Dahm, Alex Keller
arXiv

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
2016 IEEE 23rd International Conference on High Performance Computing (HiPC)
Towards Foveated Rendering for Gaze-Tracked Virtual Reality
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron Lefohn
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia)
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
arXiv
Counterexamples and Proof Loophole for the C/C++ to POWER and ARMv7 Trailing-Sync Compiler Mappings
Yatin A. Manerkar, Caroline Trippel, Daniel Lustig, Michael Pellauer, Margaret Martonosi
arXiv
Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks
Dimitrios Skarlatos, Renji Thomas, Aditya Agrawal, Shibin Qin, Robert Pilawa-Podgurski, Ulya R. Karpuzcu, Radu Teodorescu, Nam Sung Kim, Josep Torrellas
International Symposium on Microarchitecture (MICRO)
CANDY: Enabling Coherent DRAM Caches for Multi-Node Systems
Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
International Symposium on Microarchitecture (MICRO)
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
International Symposium on Microarchitecture (MICRO)
The Bunker Cache for Spatio-Value Approximation
Joshua San Miguel, Jorge Albericio, Aamer Jaleel, Natalie Enright Jerger
International Symposium on Microarchitecture (MICRO)
Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency
Radha Venkatagiri, Abdulrahman Mahmoud, Siva Hari, Sarita Adve
International Symposium on Microarchitecture (MICRO)
Data-Centric Execution of Speculative Parallel Programs
Mark C. Jeffrey, Suvinay Subramanian, Maleen Abeydeera, Joel Emer, Daniel Sanchez
International Symposium on Microarchitecture (MICRO)
A Patch Memory System For Image Processing and Computer Vision.
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel Johnson, Steve Keckler
International Symposium on Microarchitecture (MICRO)
Co-Designing Accelerators and SoC Interfaces Using gem5-Aladdin
Yakun Sophia Zhao, Sam (Likun) Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David Brooks
International Symposium on Microarchitecture (MICRO)
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
ICLR 2017
CLARA: Circular Linked-List Auto- and Self-Refresh Architecture
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Steve Keckler
International Symposium on Memory Systems (MEMSYS'16)
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
ACM Multimedia
Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs
Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson
International Conference on Parallel Architectures and Compilation (PACT)
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
arXiv
Aggregate G-Buffer Anti-Aliasing in Unreal Engine 4
Louis Bavoil, Cyril Crassin
Siggraph 2016 Course - Advances in Real-Time Rendering in Games
A System for Rapid Exploration of Shader Optimization Choices
Yong He, Theresa Foley, Kayvon Fatahalian
Proceedings of ACM SIGGRAPH 2016
GI next: global illumination for production rendering on GPUs
Enzo Catalano, Rajko Yasui-Schöffel , Ken Dahm, Nikolaus Binder, Alex Keller
ACM SIGGRAPH 2016 Talks
Reflectance Modeling by Neural Texture Synthesis
Miika Aittala, Timo Aila, Jaakko Lehtinen
ACM Transactions on Graphics 35(4) (proc. SIGGRAPH 2016)
Estimating Local Beckmann Roughness for Complex BSDFs
Nicolas Holzschuch, Anton Kaplanyan, Johannes Hanika, Carsten Dachsbacher
ACM Siggraph talks
Perceptually-Based Foveated Virtual Reality
Anjul Patney, Joohwan Kim, Marco Salvi, Anton Kaplanyan, Chris Wyman, Nir Benty, Aaron Lefohn, David Luebke
SIGGRAPH Emerging Technologies
Exploring and Expanding the Continuum of OIT Algorithms
Chris Wyman
High Performance Graphics 2016
Efficient stackless hierarchy traversal on GPUs with backtracking in constant time
Nikolaus Binder, Alex Keller
Proceedings of High Performance Graphics
Towards Selecting Robust Hand Gestures for Automotive Interfaces
Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Stephen Tyree, Jan Kautz
IEEE Intelligent Vehicles Symposium (IV) 2016
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
Yu-Hsin Chen, Joel Emer, Vivienne Sze
International Symposium on Computer Architecture (ISCA)
LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches
Hsiang-Yun Cheng, Jishen Zhao, Jack Sampson, Mary Jane Irwin, Aamer Jaleel, Yu Lu, Yuan Xie
International Symposium on Computer Architecture (ISCA)
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William Dally
International Symposium on Computer Architecture (ISCA)
Bit-Plane Compression: Transforming Data for Better Compression in Many-core Architectures
Jungrae Kim, Michael B. Sullivan, Esha Choukse, Mattan Erez
The International Symposium on Computer Architecture (ISCA)
Accelerating Dependent Cache Misses with an Enhanced Memory Controller
Milad Hashemi, Khubaib, Eiman Ebrahimi, Onur Mutlu, Yale N. Patt
International Symposium on Computer Architecture (ISCA)
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Steve Keckler
International Symposium on Computer Architecture (ISCA)
Infinite Resolution Textures
Alexander Reshetov, David Luebke
Proceedings of High Performance Graphics 2016
Accelerated Generative Models for 3D Point Cloud Data
Ben Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory
Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez
The International Symposium on Computer Architecture (ISCA)
Towards Selecting Robust Hand Gestures for Automotive Interfaces
Shalini Gupta, Pavlo Molchanov, Xiaodong Yang, Kihwan Kim, Stephen Tyree, Jan Kautz
IEEE Intelligent Vehicles Symposium
Deep G-Buffers for Stable Global Illumination Approximation
Michael Mara, Morgan McGuire, Derek Nowrouzezahrai, David Luebke
Proceedings of ACM SIGGRAPH-EuroGraphics High Performance Graphics
A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications
Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Steve Keckler
Design Automation Conference (DAC)
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
Pavlo Molchanov, Xiaodong Yang, Shaline Gupta, Kihwan Kim, Stephen Tyree, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
Filtering Distributions of Normals for Shading Antialiasing
Anton Kaplanyan, Stephen Hill, Anjul Patney, Aaron Lefohn
High-Performance Graphics (best paper)
Modeling and Analysis of Power Supply Noise Tolerance with Fine-grained GALS Adaptive Clocks
Divya Akella Kamakshi, Matt Fojtik, Brucek Khailany, Sudhir Kudva, Yaping Zhou, Benton H. Calhoun
ASYNC 2016
Award:
ASYNC 2016 Best Paper Award Nominee
Hybrid Modulation for Near Zero Display Latency
Trey Greer, Josef Spjut, David Luebke, Turner Whitted
S-Step and Communication-Avoiding Iterative Methods
Maxim Naumov
Technical Report NVR-2016-003
Stack-Based Algorithms for HDR Capture and Reconstruction
Orazio Gallo, Pradeep Sen
High Dynamic Range Video: From Acquisition, to Display and Applications, Academ…
Current parking regulator for zero droop/overshoot load transient response
Sudhir Kudva, William Dally, Trey Greer, Tom Gray
Applied Power Electronics Conference and Exposition (APEC)
Towards High Performance Paged Memory for GPUs
Tianhao Zheng, David Nellans, Arslan Zulfiqar, Mark Stephenson, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
A Case for Toggle-Aware Compression for GPU Systems
Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
Selective GPU Caches to Eliminate CPU-GPU HW Cache Coherence
Neha Agarwal, David Nellans, Eiman Ebrahimi, Thomas F. Wenisch, John Danskin, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
Single-pass Parallel Prefix Scan with Decoupled Look-back
Duane Merrill, Michael Garland
Parallel Spectral Graph Partitioning
Maxim Naumov, Timothy Moon
Technical Report NVR-2016-001
An Analytical Model for Hardened Latch Selection and Exploration
Michael B. Sullivan, Brian Zimmer, Siva Hari, Timothy Tsai, Steve Keckler
Workshop on Silicon Errors in Logic--System Effects (SELSE)
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
arXiv
A 6.5-to-23.3fJ/b/mm Balanced Charge-Recycling Bus in 16nm FinFET CMOS at 1.7-to-2.6Gb/s/wire with Clock Forwarding and Low-Crosstalk Contraflow Wiring
John Wilson, Matt Fojtik, John Poulton, Xi Chen, Stephen Tell, Trey Greer, Tom Gray, William Dally
International Solid-State Circuits Conference (ISSCC 2016)
A 28nm 2Mbit 6T SRAM with Highly Configurable Write Assist Implementation and Capacitor Based Sense Amplifier Input Offset Compen
Mahmut Sinangil, John Poulton, Matt Fojtik, Trey Greer, Stephen Tell, Andy Gotterba, Jesse Wang, Jason Golbus, William Dally, Tom Gray
Journal of Solid State Circuits
Real-time Rendering of Procedural Multiscale Materials
Tobias Zirr, Anton Kaplanyan
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
A Phenomenological Scattering Model for Order-Independent Transparency
Morgan McGuire, Michael Mara
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games …

2015

CCICheck: Using μhb Graphs to Verify the Coherence-Consistency Interface
Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
International Symposium on Microarchitecture (MICRO)
A Scalable Architecture for Ordered Parallelism
Mark C. Jeffery, Suvinay Subramanian, Cong Yang, Joel Emer, Daniel Sanchez
International Symposium on Microarchitecture (MICRO)
A Fast and Accurate Analytical Technique to Compute the AVF of Sequential Bits in a Processor
Steve Raasch, Arijis Biswas, Jon Stephan, Paul Racunas, Joel Emer
International Symposium on Microarchitecture (MICRO)
Robust Model-based 3D Head Pose Estimation
Gregory P Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz
IEEE International Conference on Computer Vision (ICCV) 2015
Network Endpoint Congestion Control for Fine-Grained Communication
Ted Jiang, Larry Dennison, William Dally
SC15
Exploiting Asymmetry in Booth-Encoded Multipliers for Reduced Energy Multiplication
Mike O'Connor, Earl Swartzlander, Jr.
49th Asilomar Conference on Signals, Systems, and Computers
A System for Rapid, Automatic Shader Level-of-Detail
Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian
SIGGRAPH Asia 2015
CloudLight: A System for Amortizing Indirect Lighting in Real-Time Rendering
Cyril Crassin, David Luebke, Michael Mara, Morgan McGuire, Brent Oster, Peter Shirley, Peter-Pike Sloan, Chris Wyman
Journal of Computer Graphics Techniques
Anatomy of GPU Memory System for Multi-Application Execution
Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Steve Keckler, Mahmut T. Kandemir, Chita R. Das
International Symposium on Memory Systems (MEMSYS)
GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors
Joel Hestness, Steve Keckler, David A. Wood
International Symposium on Workload Characterization (IISWC)
AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods
Maxim Naumov, Marat Arsaev, Patrice Castonguay, Jonathan Cohen, Julien Demouth, Joe Eaton, Simon Layton, Nikolay Markovskiy, Istvan Reguly, Nikolai Sakharnykh, Vijay Sellappan, Robert Strzodka
SIAM Journal on Scientific Computing (SISC)
MLMD: Maximum Likelihood Mixture Decoupling for Fast and Accurate Point Cloud Registration
Ben Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz
IEEE International Conference on 3D Vision (3DV2015)
Scavenger: Automating the Construction of Application-Optimized Memory Hierarchies
Hsin-Jung Yang, Kermin Fleming, Michael Adler, Felix Winterstein, Joel Emer
International Conference on Field Programmable Logic and Applications (FPL)
Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures
Michael Pellauer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy Almon, Neal Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel Emer
ACM Transactions on Computing Systems (TOCS)
MemcachedGPU: Scaling-up Scale-out Key-value Stores
Tayler Hetherington, Mike O'Connor, Tor Aamodt
Sixth ACM Symposium on Cloud Computing (SoCC '15)
Designing Efficient Heterogeneous Memory Architectures
Evgeny Bolotin, David Nellans, Oreste Villa, Mike O'Connor, Alex Ramirez, Steve Keckler, Mike O'Connor
IEEE Micro
Accumulative Anti-Aliasing
Eric Enderton, Eric Lum, Christian Rouet, Oleg Kuznetsov
ACM SIGGRAPH 2015 Talks
The SGGX microflake distribution
Eric Heitz, Jonathan Dupuy, Cyril Crassin, Carsten Dachsbacher
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2015
Decoupled Coverage Anti-Aliasing
Yuxiang Wang, Chris Wyman, Yong He, Pradeep Sen
ACM / EG Symposium on High Performance Graphics
An Adaptive Acceleration Structure for Screen-space Ray Tracing
Jan Kautz, Sven Widmer, Dawid Pajak, Andre Schulz, Kari Pulli, Michael Goesele, David Luebke
High-Performance Graphics
The Light Field Stereoscope
Fu-Chung Huang, David Luebke, Gordon Wetzstein
ACM SIGGRAPH 2015 Emerging Technologies
Stackless ray tracing of patches from feature-adaptive subdivision on GPUs
Nikolaus Binder, Alex Keller
ACM SIGGRAPH 2015 Talks
Improved Half Vector Space Light Transport
Johannes Hanika, Anton Kaplanyan, Carsten Dachsbacher
Eurographics Symposium on Rendering
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
Proceedings of The 32nd International Conference on Machine Learning
A Variable Warp Size Architecture
Timothy Rogers, Daniel Johnson, Mike O'Connor, Steve Keckler
International Symposium on Computer Architecture (ISCA)
Flexible Software Profiling of GPU Architectures
Mark Stephenson, Siva Hari, Yunsup Lee, Eiman Ebrahimi, Daniel Johnson, David Nellans, Mike O'Connor, Steve Keckler
International Symposium on Computer Architecture (ISCA)
Locality-Driven Dynamic GPU Cache Bypassing
Chao Li, Shuaiwen Leon Song, Hongwen Dai, Siva Hari, Albert Sidelnik, Huiyang Zhou
International Conference on Supercomputing (ICS)
Hand Gesture Recognition with 3D Convolutional Neural Networks
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Jan Kautz
IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) 2015
Award:
Winner (1st place) Hand Gesture Recognition Challenge
Locally Non-rigid Registration for Mobile HDR Photography
Orazio Gallo, Alejandro Troccoli, Jun Hu, Kari Pulli, Jan Kautz
IEEE Computer Vision and Pattern Recognition (CVPR 2015) Embedded Vision Worksh…
Filtering Environment Illumination for Interactive Physically-Based Rendering in Mixed Reality
Soham Uday Mehta, Kihwan Kim, Dawid Pajak, Kari Pulli, Jan Kautz, Ravi Ramamoorthi
Eurographics Symposium on Rendering (EGSR 2015)
Apex Point Map for Constant-Time Bounding Plane Approximation
Samuli Laine, Tero Karras
Eurographics Symposium on Rendering 2015
Retrieving Gray-Level Information from a Binary Sensor and its Application to Gesture Detection
Orazio Gallo, Iuri Frosio, Leonardo Gasparini, Kari Pulli, Massimo Gottardi
IEEE Computer Vision and Pattern Recognition (CVPR 2015), Embedded Vision Works…
Toggle-aware Compression for GPUs
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Steve Keckler
IEEE Computer Architecture Letters ( Volume: 14, Issue: 2, July-Dec. 1 2015 )
Parallel Graph Coloring with Applications to the Incomplete-LU Factorization on the GPU
Maxim Naumov, Patrice Castonguay, Jonathan Cohen
Technical Report NVR-2015-001
Multi-sensor System for Driver’s Hand-Gesture Recognition
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli
IEEE International Conference on Automatic Face and Gesture Recognition (FG) 20…
A Pausible Bisynchronous FIFO for GALS Systems
Ben Keller, Matt Fojtik, Brucek Khailany
ASYNC 2015
Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing
Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Kari Pulli
IEEE International Radar Conference
Camera Re-calibration after Zooming based on Sets of Conics
Iuri Frosio, Cristina Turrini, Alberto Alzati
The Visual Computer
SASSIFI: Evaluating Resilience of GPU Applications
Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer
Workshop on Silicon Errors in Logic - System Effects (SELSE-11)
In-Memory Graph Databases for Web-Scale Data
Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Time, David Haglin, Oreste Villa, John Feo
IEEE Computer
Page Placement Strategies for GPUs within Heterogeneous Memory Systems
Neha Agarwal, David Nellans, Mark Stephenson, Mike O'Connor, Steve Keckler
International Conference on Architectural Support for Programming Languages and…
Slim near eye display using pinhole aperture arrays
Kaan Akşit, Jan Kautz, David Luebke
Applied Optics
Simulating the Visual Experience of Very Bright and Very Dark Scenes
David Jacobs, Orazio Gallo, Emily Cooper, Kari Pulli, Marc Levoy
ACM Transaction on Graphics
Adaptive Segmentation based on a Learned Quality Metric
Iuri Frosio, Ed Ratner
Proceedings of the 10th International Conference on Computer Vision Theory and …
Priority-Based Cache Allocation in Throughput Processors
Dong Li, Minsoo Rhu, Daniel Johnson, Mike O'Connor, Mattan Erez, Donald Fussell, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)
High Performing Cache Hierarchies for Server Workloads -- Relaxing Inclusion to Capture the Latency Benefits of Exclusive Caches
Aamer Jaleel, Joseph Nuzman, Adrian Moga, Simon C. Steely Jr., Joel Emer
International Symposium on High Performance Computer Architecture (HPCA)
Unlocking Bandwidth for GPUs in CC-NUMA systems
Neha Agarwal, David Nellans, Mike O'Connor, Steve Keckler, Thomas Wenisch
International Symposium on High Performance Computer Architecture (HPCA)
Machine Learning for Adaptive Bilateral Filtering
Iuri Frosio, Karen Egiazarian, Kari Pulli
Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII
Frustum-Traced Raster Shadows: Revisiting Irregular Z-Buffers
Chris Wyman, Rama Hoetzlein, Aaron Lefohn
Symposium on Interactive 3D Graphics and Games
Aggregate G-Buffer Anti-Aliasing
Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron Lefohn
Proceedings of the ACM Symposium on Interactive 3D Graphics and Games 2015 (I3D…
High-speed Low-power On-chip Global Signaling Design Overview
Xi Chen, John Wilson, John Poulton, Rizwan Bashirullah, Tom Gray
DesignCon

2014

Arbitrary Modulus Indexing
Jeffrey R. Diamond, Donald S. Fussell, Steve Keckler
International Symposium on Microarchitecture (MICRO)
Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures
Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Steve Keckler, Krste Asanovic
International Symposium on Microarchitecture (MICRO)
FlexISP: A Flexible Camera Image Processing Framework
Felix Heide, Markus Steinberger, Yun-Ta Tsai, Mushfiqur Rouf, Dawid Pająk, Dikpal Reddy, Orazio Gallo, Jing Liu, Wolfgang Heidrich, Karen Egiazarian, Jan Kautz, Kari Pulli
Proc. ACM SIGGRAPH Asia
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer
Deep Learning and Representation Learning Workshop (NIPS2014)
DT-SLAM: Deferred Triangulation for Robust SLAM
Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkila¨
IEEE International Conference in 3DV (3D Vision)
Scaling the Power Wall: A Path to Exascale
Oreste Villa, Daniel Johnson, Mike O'Connor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Steve Keckler, William Dally
SC '14
A Comparative Analysis of Microarchitecture Effects on CPU and GPU Memory System Behavior
Joel Hestness, Steve Keckler, David A. Wood
International Symposium on Workload Characterization (IISWC)
Path space filtering
Alex Keller, Ken Dahm, Nikolaus Binder
ACM SIGGRAPH 2014 Talks
A Non-Linear Filter for Gyroscope-Based Video Stabilization
Steven Bell, Alejandro Troccoli, Kari Pulli
European Conference on Computer Vision 2014
Cascaded Displays: Spatiotemporal Superresolution using Offset Pixel Layers
Felix Heide, Douglas Lanman, Dikpal Reddy, Jan Kautz, Kari Pulli, David Luebke
ACM Transactions on Graphics (Proceedings of SIGGRAPH)
Path space similarity determined by Fourier histogram descriptors
Pascal Gautron, Marc Droske, Carsten Wächter, Lutz Kettner, Alex Keller, Nikolaus Binder, Ken Dahm
ACM SIGGRAPH 2014 Talks
Fast ANN for High-Quality Collaborative Filtering
Yun-Ta Tsai, Markus Steinberger, Dawid Pająk, Kari Pulli
HPG
Addressing System-Level Optimization with OpenVX Graphs
Erik Rainey, Jesse Villareal, Goksel Dedeoglu, Kari Pulli, Thierry Lepley, Frank Brill
10th IEEE Embedded Vision Workshop
Fast Global Illumination Approximations on Deep G-Buffers
Michael Mara, Morgan McGuire, Derek Nowrouzezahrai, David Luebke
NVIDIA Technical Report
Dynamic Image Stacks
David E. Jacobs, Orazio Gallo, Kari Pulli
The Fourth IEEE Workshop on Mobile Vision
Scaling Irregular Applications through Data Aggregation and Software Multithreading
Alessandro Morari, Antonino Tumeo, Daniel Chavarria-Miranda, Oreste Villa, Mateo Valero
International Parallel and Distributed Processing Symposium (IPDPS)
Measuring the Radiation Reliability of SRAM Structures in GPUs Designed for HPC
Paolo Rech, Luigi Carro, Nicholas Wang, Timothy Tsai, Siva Hari, Steve Keckler
Workshop on Silicon Errors in Logic - System Effects (SELSE-10)
Perceptual Depth Compression for Stereo Applications
Dawid Pająk, Robert Herzog, Radosław Mantiuk, Piotr Didyk, Elmar Eisemann, Karol Myszkowski, Kari Pulli
Proc. of Eurographics
A Reverse Write Assist Circuit for SRAM Dynamic Write VMIN Tracking using Canary SRAMs
Arijit Banerjee, Mahmut Sinangil, John Poulton, Tom Gray, Ben Calhoun
International Symposium on Quality Electronic Design
A unistable polyhedron with 14 faces
Alexander Reshetov
International Journal of Computational Geometry & Applications
Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications
Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Steve Keckler, Mahmut T. Kandemir, Chita R. Das
Workshop on General Purpose Processing Using GPUs (GPGPU-7)
Occluder Simplification using Planar Sections
Ari Silvennoinen, Hannu Saransaari, Samuli Laine, Jaakko Lehtinen
Computer Graphics Forum 33(1)
A Decomposition for In-place Array Transposition
Bryan Catanzaro, Alex Keller, Michael Garland
PPoPP 2014

2013

A 0.54 pJ/b 20 Gb/s Ground-Referenced Single-Ended Short-Reach Serial Link in 28 nm CMOS for Advanced Packaging Applications
John Poulton, William Dally, Xi Chen, John Eyles, Trey Greer, Stephen Tell, John Wilson, Tom Gray
Journal of Solid State Circuits
Lighting Deep G-Buffers: Single-Pass, Layered Depth Images with Minimum Separation Applied to Indirect Illumination
Michael Mara, Morgan McGuire, David Luebke
NVIDIA Technical Report
Deterministic Consistent Density Estimation for Light Transport Simulation
Alex Keller, Nikolaus Binder
Monte Carlo and Quasi-Monte Carlo Methods 2012
A Fast and Stable Feature-Aware Motion Blur Filter
Jean-Philippe Guertin, Morgan McGuire, Derek Nowrouzezahrai
WYSIWYG Computational Photography via Viewfinder Editing
Jongmin Baek, Dawid Pająk, Kihwan Kim, Kari Pulli, Marc Levoy
Proc. ACM SIGGRAPH Asia
Near-Eye Light Field Displays
Douglas Lanman, David Luebke
ACM Transactions on Graphics (TOG), Volume 32 Issue 6, November 2013 (Proceedin…
An Energy Efficient Time-sharing Pyramid Pipeline for Multi-resolution Computer Vision
Qiuling Zhu, Navjot Garg, Yun-Ta Tsai, Kari Pulli
VLSI-SOC
On Quality Metrics of Bounding Volume Hierarchies
Timo Aila, Tero Karras, Samuli Laine
Proc. High-Performance Graphics
2D Polyhedral Bounds of a Clipped, Perspective-Projected 3D Sphere
Michael Mara, Morgan McGuire
Journal of Computer Graphics Techniques
Practical SVBRDF Capture in the Frequency Domain
Miika Aittala, Tim Weyrich, Jaakko Lehtinen
ACM Transactions on Graphics (Proc. SIGGRAPH 2013)
Simple Analytic Approximations to the CIE XYZ Color Matching Functions
Chris Wyman, Peter-Pike Sloan, Peter Shirley
Journal of Computer Graphics Techniques
Fast Parallel Construction of High-Quality Bounding Volume Hierarchies
Tero Karras, Timo Aila
High Performance Graphics 2013
CloudLight: A system for amortizing indirect lighting in real-time rendering (Technical Report)
Cyril Crassin, David Luebke, Michael Mara, Morgan McGuire, Brent Oster, Peter Shirley, Peter-Pike Sloan, Chris Wyman
Megakernels Considered Harmful: Wavefront Path Tracing on GPUs
Samuli Laine, Tero Karras, Timo Aila
High-Performance Graphics 2013
Gradient-Domain Metropolis Light Transport
Jaakko Lehtinen, Tero Karras, Samuli Laine, Miika Aittala, Frédo Durand, Timo Aila
ACM Transactions on Graphics (Proc. SIGGRAPH 2013)
Imperfect Voxelized Shadow Volumes
Chris Wyman, Zeng Dai
High Performance Graphics
PixelPie: Maximal Poisson-disk Sampling with Rasterization
Cheuk Yiu Ip, M. Adil Yalçin, David Luebke, Amitabh Varshney
High Performance Graphics 2013
NOVA: A Functional Language for Data Parallelism
Alex Collins, Dominik Grewe, Vinod Grover, Sean Lee, Adriana Susnea
HDR Deghosting: How to Deal with Saturation?
Jun Hu, Orazio Gallo, Kari Pulli, Xiaobai Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
A Topological Approach to Voxelization
Samuli Laine
Eurographics Symposium on Rendering 2013
21st Century Digital Design Tools
William Dally, Chris Malachosky, Steve Keckler
Design Automation Conference (DAC)
GPU Ray Tracing
Steven Parker, Heiko Freidrich, David Luebke, Keith Morley, James Bigler, Jared Hoberock, David McAllister, Austin Robison, Andreas Dietrich, Greg Humphreys, Morgan McGuire, Martin Stich
Communications of the ACM
Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation
Michael Mara, Morgan McGuire, David Luebke
2013 ACM Symposium on Interactive 3D Graphics and Games
Convergence and Scalarization for Data-Parallel Architectures
Yunsup Lee, Ronny Krashinsky, Vinod Grover, Steve Keckler, Krste Asanovic
International Symposium on Code Generation and Optimization (CGO)
A 0.54pJ/b 20Gb/s Ground-Referenced Single-Ended Short-Haul Serial Link in 28nm CMOS for Advanced Packaging Applications
John Poulton, William Dally, Xi Chen, John Eyles, Trey Greer, Stephen Tell, Tom Gray
ISSCC
A Parallel Auxiliary Grid Algebraic Multigrid Method for Graphic Processing Units
Lu Wang, Xiaozhe Hu, Jonathan Cohen, Jinchao Xu
SIAM J. Scientific Computing 35(3)

2012

Unifying Primary Cache, Scratch, and Register File Memories in a Throughput Processor
Mark Gebhart, Steve Keckler, Brucek Khailany, Ronny Krashinsky, William Dally
International Symposium on Microarchitecture (MICRO)
Preconditioned Block-Iterative Methods on GPUs
Maxim Naumov
Proceedings in Applied Mathematics and Mechanics
Exposure Stacks for Live Scenes with Hand-held Cameras
Jun Hu, Orazio Gallo, Kari Pulli
Proceedings of the European Conference of Computer Vision
Reconstructing the Indirect Light Field for Global Illumination
Jaakko Lehtinen, Timo Aila, Samuli Laine, Frédo Durand
ACM Transactions on Graphics (Proc. SIGGRAPH 2012)
Octree-Based Sparse Voxelization Using The GPU Hardware Rasterizer
Cyril Crassin, Simon Green
OpenGL Insights
Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees
Tero Karras
High Performance Graphics 2012
Realtime Computer Vision with OpenCV
Kari Pulli, Anatoly Baksheev, Kirill Kornyakov, Victor Eruhimov
Communications of the ACM
Understanding the Efficiency of Ray Traversal on GPUs - Kepler and Fermi Addendum
Timo Aila, Samuli Laine, Tero Karras
NVIDIA Technical Report NVR-2012-002
Detecting Regions of Interest in Dynamic Scenes with Camera Motions
Kihwan Kim, Dongryeol Lee, Irfan Essa
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012
Scalable Ambient Obscurance
Morgan McGuire, Michael Mara, David Luebke
High Performance Graphics
Relational Algorithms for Multi-Bulk-Synchronous Processors
Greg Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili
NVIDIA Tech Report
Robust Stereo with Flash and No-flash Image Pairs
Changyin Zhou, Alejandro Troccoli, Kari Pulli
CVPR 2012
Efficient Parallel Merge Sort for Fixed and Variable Length Keys
Andrew Davidson, David Tarjan, Michael Garland, John Owens
Proc. Innovative Parallel Computing
Policy-based Tuning for Performance Portability and Library Co-optimization
Duane Merrill, Michael Garland, Andrew Grimshaw
Proc. Innovative Parallel Computing
Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU
Maxim Naumov
Technical Report NVR-2012-003
Metering for Exposure Stacks
Orazio Gallo, Marius Tico, Roberto Manduchi, Natasha Gelfand, Kari Pulli
Eurographics 2012
A Hierarchical Thread Scheduler and Register File for Energy-Efficient Throughput Processors
Mark Gebhart, Daniel R. Johnson, David Tarjan, Steve Keckler, William Dally, Erik Lindholm, Kevin Skadron
ACM Transactions on Computer Systems (TOCS)
A Path Space Extension for Robust Light Transport Simulation
Toshiya Hachisuka, Jacopo Pantaleoni, Henrik W. Jensen
NVIDIA Technical Report NVR-2012-001
Scalable GPU Graph Traversal
Duane Merrill, Michael Garland, Andrew Grimshaw
17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (…
FCam for Multiple Cameras
Alejandro Troccoli, Dawid Pająk, Kari Pulli
SPIE Electronic Imaging: Multimedia on Mobile Images 2012

2011

Allocation-oriented Algorithm Design with Application to GPU Computing, Ph.D. Dissertation
Duane Merrill
Department of Computer Science, University of Virginia
A Compile-Time Managed Multi-Level Register File Hierarchy
Mark Gebhart, Steve Keckler, William Dally
International Symposium on Microarchitecture (MICRO)
CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization
Michael Bauer, Henry Cook, Brucek Khailany
SC '11
Improved Dual-Space Bounds for Simultaneous Motion and Defocus Blur
Samuli Laine, Tero Karras
NVIDIA Technical Report NVR-2010-004
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Kihwan Kim, Dongryeol Lee, Irfan Essa
IEEE International Conference on Computer Vision (ICCV) 2011
Thrust: A Productivity-Oriented Library for CUDA
Nathan Bell, Jared Hoberock
GPU Computing Gems, Jade Edition, Edited by Wen-mei W. Hwu
Interactive Indirect Illumination Using Voxel Cone Tracing
Cyril Crassin, Fabrice Neyret, Miguel Sainz, Simon Green, Elmar Eisemann
Interactive Indirect Illumination Using Voxel Cone Tracing
GPUs and the Future of Parallel Computing
Steve Keckler, William Dally, Brucek Khailany, Michael Garland, David Glasco
IEEE Micro
Processing Device Arrays with C++ Metaprogramming
Jonathan Cohen
GPU Computing Gems, Jade Edition, Edited by Wen-mei W. Hwu
Efficient Triangle Coverage Tests for Stochastic Rasterization
Samuli Laine, Tero Karras
NVIDIA Technical Report NVR-2010-003
A Hybrid Method for Solving Tridiagonal Systems on the GPU
Yao Zhang, Jonathan Cohen, Andrew A. Davidson, John Owens
GPU Computing Gems, Jade Edition, Edited by Wen-mei W. Hwu
Temporal Light Field Reconstruction for Rendering Distribution Effects
Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand
ACM Transactions in Graphics 30(4) (Proc. SIGGRAPH 2011)
The Alchemy Screen-space Ambient Obscurance Algorithm
Morgan McGuire, Brian Osman, Michael Bukowski, Padraic Hennessy
High-Performance Graphics 2011
Simpler and Faster HLBVH with Work Queues
Kirill Garanzha, Jacopo Pantaleoni, David McAllister
High Performance Graphics 2011
High-Performance Software Rasterization on GPUs
Samuli Laine, Tero Karras
High-Performance Graphics 2011
Stochastic Transparency
Eric Enderton, Erik Sintorn, Peter Shirley, David Luebke
IEEE Transactions on Visualization and Computer Graphics (original version in S…
Clipless Dual-Space Bounds for Faster Stochastic Rasterization
Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen
ACM Transactions in Graphics 30(4) (Proc. SIGGRAPH 2011)
VoxelPipe: A Programmable Pipeline for 3D Voxelization
Jacopo Pantaleoni
High Performance Graphics 2011
High Performance and Scalable GPU Graph Traversal
Duane Merrill, Michael Garland, Andrew Grimshaw
Technical Report CS-2011-05, Department of Computer Science, University of Virg…
Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods
Nathan Bell, Steven Dalton, Luke Olson
NVIDIA Technical Report NVR-2011-002
Energy-efficient Mechanisms for Managing Thread Context in Throughput Processors
Mark Gebhart, Daniel R. Johnson, David Tarjan, Steve Keckler, William Dally, Erik Lindholm, Kevin Skadron
International Symposium on Computer Architecture (ISCA)
Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU
Maxim Naumov
Technical Report NVR-2011-001
The Workflow Scale: Why 5x Faster Might Not Be Enough
Eric Enderton, Daniel Wexler
Computer Graphics International 2011
Stratified Sampling for Stochastic Transparency
Samuli Laine, Tero Karras
Computer Graphics Forum 30(4) (EGSR 2011)
Decoupled Sampling for Graphics Pipelines
Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael Doggett, Frédo Durand
ACM Transactions in Graphics 30(3) (To be presented at SIGGRAPH 2011)
A Local Image Reconstruction Algorithm for Stochastic Rendering
Peter Shirley, Timo Aila, Jonathan Cohen, Eric Enderton, Samuli Laine, David Luebke, Morgan McGuire
i3D
Copperhead: Compiling an Embedded Data Parallel Language
Bryan Catanzaro, Michael Garland, Kurt Keutzer
16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (…
Colored Stochastic Shadow Maps
Morgan McGuire, Eric Enderton
i3D
Subpixel Reconstruction Antialiasing
Matthäus G. Chajdas, Morgan McGuire, David Luebke
i3D

2010

Point Set Registration: Coherent Point Drift
Andriy Myronenko, Xubo Song
PAMI 2010
Sparse Matrix-Vector Multiplication on Multicore and Accelerators
Sam Williams, Nathan Bell, Jee Whan Choi, Michael Garland, Leonid Oliker, Richard Vuduc
Scientific Computing on Multicore and Accelerators
Scalable Fluid Simulation using Anisotropic Turbulence Particles
Tobias Pfaff, Nils Thurey, Jonathan Cohen, Sarah Tariq, Markus Gross
ACM Transactions on Graphics (SIGGRAPH Asia 2010)
OptiX: A General Purpose Ray Tracing Engine
Steven G. Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllister, Morgan McGuire, Keith Morley, Austin Robison, Martin Stich
ACM Transactions on Graphics (SIGGRAPH 2010 Proceedings)
PantaRay: Fast Ray-traced Occlusion Caching of Massive Scenes
Jacopo Pantaleoni, Luca Fascione
Siggraph 2010 (In Proceedings of ACM Siggraph 2010)
Architecture Considerations for Tracing Incoherent Rays
Timo Aila, Tero Karras
Proc. High-Performance Graphics 2010
Two Methods for Fast Ray-Cast Ambient Occlusion
Samuli Laine, Tero Karras
Eurographics Symposium on Rendering 2010
Ambient Occlusion Volumes
Morgan McGuire
High Performance Graphics 2010
Restart Trail for Stackless BVH Traversal
Samuli Laine
High-Performance Graphics 2010
Real-Time Stochastic Rasterization on Conventional GPU Architectures
Morgan McGuire, Eric Enderton, Peter Shirley, David Luebke
High Performance Graphics 2010
HLBVH: Hierarchical LBVH Construction for Real-Time Ray Tracing
Jacopo Pantaleoni, David Luebke
High Performance Graphics 2010
The Even/Odd Synchronizer: A Fast, All-Digital Periodic Synchronizer
William Dally, Stephen Tell
16th International Symposium on Asynchronous Circuits and Systems
Hardware-Accelerated Colored Stochastic Shadow Maps
Morgan McGuire
NVIDIA Technical Report NVR-2010-003
Optical Image Processing Using Light Modulation Displays
David Luebke, Gordon Wetzstein, Wolfgang Heidrich
Computer Graphics Forum
Efficient Sparse Voxel Octrees - Analysis, Extensions, and Implementation
Samuli Laine, Tero Karras
NVIDIA Technical Report NVR-2010-001
Interactive Fluid-Particle Simulation using Translating Eulerian Grids
Jonathan Cohen, Sarah Tariq, Simon Green
Interactive 3D Graphics and Games (I3D) 2010
Efficient Sparse Voxel Octrees
Samuli Laine, Tero Karras
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D)
Fast Tridiagonal Solvers on the GPU
Yao Zhang, Jonathan Cohen, John Owens
15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (…
Programming Massively Parallel Processors: A Hands-on Approach
David Kirk, Wen-mei Hwu
Morgan Kauffman

2009

Increasing Memory Miss Tolerance for SIMD Cores
David Tarjan, Jiayuan Meng, Kevin Skadron
International Conference for High Performance Computing, Networking, Storage an…
Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Nathan Bell, Michael Garland
Proc. Supercomputing '09
Solving Computational Problems with GPU Computing
Jonathan Cohen, Michael Garland
Computing in Science and Engineering
Hardware-Accelerated Global Illumination by Image Space Photon Mapping
Morgan McGuire, David Luebke
ACM SIGGRAPH/EuroGraphics High Performance Graphics 2009
Understanding the Efficiency of Ray Traversal on GPUs
Timo Aila, Samuli Laine
Proc. High-Performance Graphics
Image Space Gathering
Austin Robison, Peter Shirley
Proc. High-Performance Graphics
A Fast Double Precision CFD Code Using CUDA
Jonathan Cohen, M. Jeroen Molemaker
Proceedings of Parallel Computational Fluid Dynamics 2009
Designing Efficient Sorting Algorithms for Manycore GPUs
Nadathur Satish, Mark Harris, Michael Garland
Proc. IEEE International Symposium on Parallel & Distributed Processing
Fast BVH Construction on GPUs
Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David Luebke, Dinesh Manocha
Proc. Eurographics 2009

2008

Efficient Parallel Scan Algorithms for GPUs
Shubhabrata Sengupta, Mark Harris, Michael Garland
NVIDIA Technical Report NVR-2008-003
Efficient Sparse Matrix-Vector Multiplication on CUDA
Nathan Bell, Michael Garland
NVIDIA Technical Report NVR-2008-004
Lossless and Near Lossless Compression of Real Color Filter Array data
Karen Eguiazarian, co-author: Andriy Bazhyna
IEEE Transactions on Consumer Electronics, vol. 54, no. 4, pp. 1492-1500
On the Visualization of Social and Other Scale-Free Networks
Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart
Proc. Infovis 2008
Rapid Multipole Graph Drawing on the GPU
Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart
Proc. Graph Drawing 2008
Parallel Computing Experiences with CUDA
Michael Garland, Scott Le Grand, John Nickolls, Joshua Anderson, Jim Hardwick, Scott Morton, Everett Phillips, Yao Zhang, Vasily Volkov
IEEE Micro
A Meshless Hierarchical Representation for Light Transport
Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, François Sillion, Fredo Durand, Timo Aila
ACM Transactions on Graphics (Proc. SIGGRAPH)
Low Viscosity Flow Simulations for Animation
M .Jeroen Molemaker, Jonathan Cohen, Sanjit Patel, Jun-Yong Noh
Symposium on Computer Animation (SCA) 2008
Real-time Editing and Relighting of Homogeneous Translucent Materials
Rui Wang, Qianyong Chen, Ewen Cheslack-Postava, David Luebke, Rui Wang, Qunsheng Peng, Hujun Bao
Computer Graphics International 2008
GPU Computing
John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone, James C. Phillips
Proceedings of the IEEE
NVIDIA Tesla: A Unified Graphics and Computing Architecture
Erik Lindholm, John Nickolls, Stuart Oberman, John Montrym
IEEE Micro
Free-form Motion Processing
Scott Kircher, Michael Garland
ACM Trans. on Graphics
Scalable Parallel Programming with CUDA
John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
Queue

2007

A 14-mW 6.25-Gb/s Transceiver in 90-nm CMOS
John Poulton, Robert Palmer, Andy Fuller, Trey Greer, John Eyles, William Dally, Mark Horowitz
IEEE Journal of Solid-State Circuits
A Hardware Architecture for Surface Splatting
Tim Weyrich, Simon Heinzle, Timo Aila, Daniel B. Fasnacht, Stephan Oetiker, Mario Botsch, Cyril Flaig, Simon Mall, Kaspar Rohrer, Norbert Felber, Hubert Kaeslin, Markus Gross
ACM Transactions on Graphics (Proc. SIGGRAPH)
Advanced Techniques for Realistic Real-Time Skin Rendering
Eugene d'Eon, David Luebke
GPU Gems 3
Simulation of Bubbles in Foam with the Volume Control Method
Byungmoon Kim, Yingjie Liu, Ignacio Llamas, Xiangmin Jiao, Jarek Rossignac,
ACM Trans. Graph. 26(3) (Proc. SIGGRAPH 2007)
A Hardware Redundancy and Recovery Mechanism for Reliable Scientific Computation on Graphics Processors
Jeremy Sheaffer, David Luebke, Kevin Skadron
Graphics Hardware 2007
Incremental Instant Radiosity for Real-Time Indirect Illumination
Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila
Eurographics Symposium on Rendering
Iterative Methods for Improving Mesh Parameterizations
Shen Dong, Michael Garland
IEEE Shape Modeling International 2007
Efficient Rendering of Human Skin
Eugene d'Eon, David Luebke, Eric Enderton
Eurographics Symposium on Rendering 2007
The NVIDIA GeForce 8800 GPU
Erik Lindholm, Stuart Oberman
2007 IEEE Hot Chips 19 Symposium
How GPUs Work
David Luebke, Greg Humphreys
IEEE Computer

2006

The Visual Vulnerability Spectrum: Characterizing Architectural Vulnerability for Graphics Hardware
Jeremy W Sheaffer, David Luebke, Kevin Skadron
Proceedings of Graphics Hardware

2005

A Survey of General-Purpose Computation on Graphics Hardware
John D. Owens, David Luebke, Naga Govindaraju, Mark Harris, Jens Krüger, Aaron Lefohn, Timothy J. Purcell
Eurographics 2005, State of the Art Reports
GPU-Accelerated High Quality Hidden Surface Removal
Daniel Wexler, Larry Gritz, Eric Enderton, Jonathan Rice
Graphics Hardware 2005
High-Quality Antialiased Rasterization
Daniel Wexler, Eric Enderton
GPU Gems II

2003

Twister: A Space-warp Operator for the Two-handed Editing of 3D Shapes
Ignacio Llamas, ByungMoon Kim, Joshua Gargus, Jarek Rossignac, Christopher D. Shaw
ACM Transactions on Graphics 22(3) (Proc. SIGGRAPH 2003)

2001

A User-Programmable Vertex Engine.
Erik Lindholm, Mark Kilgard, Henry Moreton
Proceedings of ACM SIGGRAPH 2001

Our Publications

Our publications provide insight into some of our leading-edge research.