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2020

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

2014

Arbitrary Modulus Indexing

Jeffrey R. Diamond, Donald S. Fussell, Steve Keckler

Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures

Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Steve Keckler, Krste Asanovic

FlexISP: A Flexible Camera Image Processing Framework

Felix Heide, Markus Steinberger, Yun-Ta Tsai, Mushfiqur Rouf, Dawid Pająk, Dikpal Reddy, Orazio Gallo, Jing Liu, Wolfgang Heidrich, Karen Egiazarian, Jan Kautz, Kari Pulli

DT-SLAM: Deferred Triangulation for Robust SLAM

Daniel Herrera C., Kihwan Kim, Juho Kannala, Kari Pulli, Janne Heikkila¨

cuDNN: Efficient Primitives for Deep Learning

Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer

Scaling the Power Wall: A Path to Exascale

Oreste Villa, Daniel Johnson, Mike O'Connor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Steve Keckler, William Dally

A Comparative Analysis of Microarchitecture Effects on CPU and GPU Memory System Behavior

Joel Hestness, Steve Keckler, David A. Wood

Path space filtering

Alex Keller, Ken Dahm, Nikolaus Binder

A Non-Linear Filter for Gyroscope-Based Video Stabilization

Steven Bell, Alejandro Troccoli, Kari Pulli

Cascaded Displays: Spatiotemporal Superresolution using Offset Pixel Layers

Felix Heide, Douglas Lanman, Dikpal Reddy, Jan Kautz, Kari Pulli, David Luebke

Pascal Gautron, Marc Droske, Carsten Wächter, Lutz Kettner, Alex Keller, Nikolaus Binder, Ken Dahm

Addressing System-Level Optimization with OpenVX Graphs

Erik Rainey, Jesse Villareal, Goksel Dedeoglu, Kari Pulli, Thierry Lepley, Frank Brill

Dynamic Image Stacks