Publications

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

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2019

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
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing (Mark) Ren, Brucek Khailany, David Z. Pan
DAC 2019 Best Paper Award
High Performance Graph Convolutional Networks with Applications in Testability Analysis
Yuzhe Ma, Haoxing (Mark) Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu
PRIMAL: Power Inference using Machine Learning
Yuan Zhou, Haoxing (Mark) Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang
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
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 Best Paper Award
Dynamic Diffuse Global Illumination with Ray-Traced Irradiance Fields
Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, Morgan McGuire
Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality
George Alex Koulieris, Kaan Akşit, Michael Stengel, Rafał K. Mantiuk, Katerina Mania
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
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
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
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
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
Security Verification through Automatic Hardware-Aware Exploit Synthesis: The CheckMate Approach.
Caroline Trippel, Daniel Lustig, Margaret Martonosi
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde
Nimble Page Management for Tiered Memory Systems
Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee
A Formal Analysis of the NVIDIA PTX Memory Consistency Model.
Daniel Lustig, Sameer Sahasrabuddhe, Olivier Giroux
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
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
Learning Linear Transformations for Fast Image and Video Style Transfer
Xueting Li, Sifei Liu, Ming-Hsuan Yang, Jan Kautz
Towards Analytically Evaluating the Error Resilience of GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai
On the Trend of Resilience for GPU-Dense Systems
Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
Award paper
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
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model
Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing (Mark) Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu
Manufacturing Application-Driven Foveated Near-Eye Displays
Kaan Akşit, Praneeth Chakravarthula, Kishore Rathinavel, Youngmo Jeong, Rachel Albert, Henry Fuchs, David Luebke
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
Ray Tracing Gems
Eric Haines, Tomas Akenine-Möller
Improving Temporal Antialiasing with Adaptive Ray Tracing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire
Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections
Alexander Reshetov
DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems
Aamer Jaleel, Eiman Ebrahimi, Sam Duncan
Informative Object Annotations: Tell Me Something I Don't Know
Lior Bracha, Gal Chechik
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Yuval Atzmon, Gal Chechik