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2018

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