Publications | Research

2020

RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification

Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi

Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

SymGAN: Orientation Estimation without Annotation for Symmetric Objects

Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander Berg, Dieter Fox

NRMVS: Non-Rigid Multi-view Stereo

Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Niessner , Charles Loop, Marc Stamminger, Jan Kautz

Prescription AR: a fully-customized prescription-embedded augmented reality display

Jui-Yi Wu, Jonghyun Kim

Neurreg: Neural registration and its application to image segmentation

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

HarDNN: Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

HMG: Extending Cache Coherence Protocols Across Modern Hierarchical Multi-GPU Systems

Xiaowei Ren, Daniel Lustig, Evgeny Bolotin, Aamer Jaleel, Oreste Villa, David Nellans

Speculative Reconvergence for Improved SIMT Efficiency

Sana Damani, Daniel Johnson, Mark Stephenson, Eddie Yan, Olivier Giroux, Michael McKeown, Steve Keckler

Eccentricity Effects on Blur and Depth Perception

Qi Sun, Fu-Chung Huang, Li-Yi Wei, David Luebke, Arie Kaufman, Joohwan Kim

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

2019

Few-Shot Video-to-Video Synthesis

Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro

Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz

High-Quality Self-Supervised Deep Image Denoising

Samuli Laine, Tero Karras, Jaakko Lehtinen, Timo Aila

Improved Precision and Recall Metric for Assessing Generative Models

Tuomas Kynkäänniemi, Tero Karras, Samuli Laine, Jaakko Lehtinen, Timo Aila

Joint-task Self-supervised Learning for Temporal Correspondence

Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang

Instant Quantization of neural networks using Monte Carlo Methods

Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller

NeurIPS

Joint Optimization for Cooperative Image Captioning

Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik

Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication

Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor

Legate NumPy: Accelerated and Distributed Array Computing

Michael Bauer, Michael Garland

Latency of 30 ms Benefits First Person Targeting Tasks More Than Refresh Rate Above 60 Hz

Josef Spjut, Ben Boudaoud, Kamran Binaee, Jonghyun Kim, Zander Majercik, Morgan McGuire, David Luebke, Joohwan Kim

MAGNet: A Modular Accelerator Generator for Neural Networks

Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany