Publications

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

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  • 242 results found

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

2018

Fluidic Elastomer Actuators for Haptic Interactions in Virtual Reality
Jose Barreiros, Houston Claure, Bryan Peele, Omer Shapira, Josef Spjut, David Luebke, Malte Jung, Robert Shepherd
Localization-Aware Active Learning for Object Detection
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Learning towards Minimum Hyperspherical Energy
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
Context-aware Synthesis and Placement of Object Instances
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
Light-Weight Protocols for Wire-Speed Ordering
Hans Eberle, Larry Dennison
Optimizing Software-Directed Instruction Replication for GPU Error Detection
Abdulrahman Mahmoud, Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler
Dynamic Tracing: Memoization of Task Graphs for Dynamic Task-based Runtimes
Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Evaluating and Accelerating High-Fidelity Error Injection for HPC
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage
Matthias Blumrich, Ted Jiang, Larry Dennison
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Nikolaus Binder, Alex Keller
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
Nikolaus Binder, Alex Keller
RouteNet: Routability Prediction for Mixed-size Designs using Convolutional Neural Network
Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Haoxing (Mark) Ren, Shao-Yun Fang, Yiran Chen, Hu Jiang
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors
Saurabh Jha, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Steve Keckler, Ravishankar K. Iyer
PipeProof: Automated Memory Consistency Proofs for Microarchitectural Specifications
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Aarti Gupta
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Best Paper nominee
SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection
Michael B. Sullivan, Siva Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler
Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism
Mark C. Jeffrey, Victor A. Ying, Suvinay Subramanian, Hyun Ryong Lee, Joel Emer, Daniel Sanchez
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors
Vladimir Kiriansky, Ilia Lebedev, Saman Amarasinghe, Srinivas Devadas, Joel Emer
CheckMate: Automated Synthesis of Hardware Exploits and Security Litmus Tests
Caroline Trippel, Daniel Lustig, Margaret Martonosi
IEEE Micro Top Picks in Computer Architecture
Combining HW/SW Mechanisms to Improve NUMA Performance of Multi-GPU Systems
Vinson Young, Aamer Jaleel, Evgeny Bolotin, Eiman Ebrahimi, David Nellans, Oreste Villa
Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs
Neal Crago, Mark Stephenson, Steve Keckler
Exascale Deep Learning for Climate Analytics
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Bala Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield