Publications

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

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  • 164 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

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Towards Foveated Rendering for Gaze-Tracked Virtual Reality
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron Lefohn
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
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
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
CANDY: Enabling Coherent DRAM Caches for Multi-Node Systems
Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
Co-Designing Accelerators and SoC Interfaces Using gem5-Aladdin
Yakun Sophia Zhao, Sam (Likun) Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David Brooks
Data-Centric Execution of Speculative Parallel Programs
Mark C. Jeffrey, Suvinay Subramanian, Maleen Abeydeera, Joel Emer, Daniel Sanchez
A Patch Memory System For Image Processing and Computer Vision.
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel Johnson, Steve Keckler
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
The Bunker Cache for Spatio-Value Approximation
Joshua San Miguel, Jorge Albericio, Aamer Jaleel, Natalie Enright Jerger
Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency
Radha Venkatagiri, Abdulrahman Mahmoud, Siva Hari, Sarita Adve
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
CLARA: Circular Linked-List Auto- and Self-Refresh Architecture
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Steve Keckler
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs
Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson
Learning to generalize to new compositions in image understanding
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
Aggregate G-Buffer Anti-Aliasing in Unreal Engine 4
Louis Bavoil, Cyril Crassin
A System for Rapid Exploration of Shader Optimization Choices
Yong He, Theresa Foley, Kayvon Fatahalian
GI next: global illumination for production rendering on GPUs
Enzo Catalano, Rajko Yasui-Schöffel , Ken Dahm, Nikolaus Binder, Alex Keller