Publications

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

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2022

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
DAGguise: Mitigating Memory Timing Side Channels
Peter W. Deutsch, Yuheng Yang, Thomas Bourgeat, Jules Drean, Joel Emer, Mengjia Yan
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder
Haoyu Yang, Shuhe Li, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu
Best Paper Award
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield
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
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, et al.
Machine Learning and Algorithms: Let Us Team Up for EDA
Haoxing (Mark) Ren, Brucek Khailany, Matt Fojtik, Yanqing Zhang
Accelerators
Steve Keckler, Dejan Milojicic
GPU Subwarp Interleaving
Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
Jonathan Tremblay, Moustafa Meshry, Stan Birchfield, Alex Evans, Jan Kautz, Alex Keller, Sameh Khamis, Charles Loop, Nate Morrical, Thomas Müller, Koki Nagano, Towaki Takikawa, Stan Birchfield

2021

Scalar Spatiotemporal Blue Noise Masks
Alan Wolfe, Nathan Morrical, Tomas Akenine-Möller, Ravi Ramamoorthi
Path Guiding Using Spatio-Directional Mixture Models
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
AdaptiBrush: Adaptive General and Predictable VR Ribbon Brush
Enrique Rosales, Chrystiano Araujo, Jafet Rodriguez, Nicholas Vining, Dongwook Yoon, Alla Sheffer
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
GPU Domain Specialization via Composable On-Package Architecture
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler
Dynamic Diffuse Global Illumination Resampling
Zander Majercik, Thomas Müller, Alex Keller, Derek Nowrouzezahrai, Morgan McGuire
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Haoxing (Mark) Ren, Matt Fojtik, Brucek Khailany
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays
Manu Gopakumar, Jonghyun Kim, Suyeon Choi, Yifan Peng, Gordon Wetzstein
KAMA: 3D Keypoint Aware Body Mesh Articulation
Umar Iqbal, Kevin Xie, Kelly Guo, Jan Kautz, Pavlo Molchanov
Evolution of the Graphics Processing Unit (GPU)
William Dally, Steve Keckler, David B. Kirk
Interpreting and predicting tactile signals for the SynTouch BioTac
Yashraj Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox
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
Fast Volume Rendering with Spatiotemporal Reservoir Resampling
Daqi Lin, Chris Wyman, Cem Yuksel
Neural 3D Holography
Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Gordon Wetzstein
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
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
Noise-Aware Video Saliency Prediction
Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef Spjut, Pradeep Sen, Iuri Frosio
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja, Alexander Schwing, Jan Kautz, Arash Vahdat