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2020

Reference-Noise Compensation Scheme for Single- Ended Package-to-Package Links

Xi Chen, Nikola Nedovic, Stephen Tell, Sudhir Kudva, Brian Zimmer, Trey Greer, John Poulton, Sanquan Song, Walker Turner, John Wilson, Tom Gray

Toward Standardized Classification of Foveated Displays

Josef Spjut, Ben Boudaoud, Jonghyun Kim, Trey Greer, Rachel Albert, Michael Stengel, Kaan Akşit, David Luebke

On the Distance between Two Neural Networks and the Stability of Learning

Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu

ABCDPlace: Accelerated Batch-based Concurrent Detailed Placement on Multi-threaded CPUs and GPUs

Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing (Mark) Ren, Brucek Khailany, David Z. Pan

Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation

Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz

Patch scanning displays: spatiotemporal enhancement for displays

Kaan Akşit

Displacement-Invariant Cost Computation for Efficient Stereo Matching

Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas Breuel, Hongdong Li, Jan Kautz

Improving Deep Stereo Network Generalization with Geometric Priors

Jialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, Jan Kautz

A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm

Brian Zimmer, Rangharajan Venkatesan, Yakun 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

JSSC 2020 Best Paper award

FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing (Mark) Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza

PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network

Zhiyao Xie, Haoxing (Mark) Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen