Publications

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

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  • 121 results found

2018

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
DUO: Exposing On-chip Redundancy to Rank-Level ECC for High Reliability
Seong-Lyong Gong, Jungrae Kim, Michael B. Sullivan, Howard David, Mattan Erez
Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study
Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang
Riemannian Motion Policies
Nathan Ratliff, Jan Issac, Daniel Kappler, Stan Birchfield, Dieter Fox
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
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
MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols
Caroline Trippel, Daniel Lustig, Margaret Martonosi
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
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
Learning Adaptive Parameter Tuning for Image Processing
Jingming Dong, Iuri Frosio, Jan Kautz

2008

Efficient Parallel Scan Algorithms for GPUs
Shubhabrata Sengupta, Mark Harris, Michael Garland
Efficient Sparse Matrix-Vector Multiplication on CUDA
Nathan Bell, Michael Garland
A Layered, Heterogeneous Reflectance Model for Acquiring and Rendering Human Skin
Craig Donner, Tim Weyrich, Eugene d'Eon, Ravi Ramamoorthi, Szymon Rusinkiewicz
Lossless and Near Lossless Compression of Real Color Filter Array data
Karen Eguiazarian, co-author: Andriy Bazhyna
On the Visualization of Social and Other Scale-Free Networks
Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart
Rapid Multipole Graph Drawing on the GPU
Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart
Parallel Computing Experiences with CUDA
Michael Garland, Scott Le Grand, John Nickolls, Joshua Anderson, Jim Hardwick, Scott Morton, Everett Phillips, Yao Zhang, Vasily Volkov
A Meshless Hierarchical Representation for Light Transport
Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, François Sillion, Fredo Durand, Timo Aila
Low Viscosity Flow Simulations for Animation
M .Jeroen Molemaker, Jonathan Cohen, Sanjit Patel, Jun-Yong Noh
Real-time Editing and Relighting of Homogeneous Translucent Materials
Rui Wang, Qianyong Chen, Ewen Cheslack-Postava, David Luebke, Rui Wang, Qunsheng Peng, Hujun Bao
GPU Computing
John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone, James C. Phillips
NVIDIA Tesla: A Unified Graphics and Computing Architecture
Erik Lindholm, John Nickolls, Stuart Oberman, John Montrym
Free-form Motion Processing
Scott Kircher, Michael Garland
Scalable Parallel Programming with CUDA
John Nickolls, Ian Buck, Michael Garland, Kevin Skadron