Publications | Research

2019

Meta-Sim: Learning to Generate Synthetic Datasets

Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler

An Alarm System for Segmentation Algorithm Based on Shape Model

Fengze Liu, Yingda Xia, Dong Yang, Alan Yuille, Daguang Xu

Confidence Regularized Self-Training

Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang

Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model

Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg

QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions

Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang

NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs

Oreste Villa, Mark Stephenson, David Nellans, Steve Keckler

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach.

Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna

IEEE Micro Top Picks in Computer Architecture

ExTensor: An Accelerator for Sparse Tensor Algebra

Kartik Hegde, Hadi Asghari-Moghaddam, Michael Pellauer, Neal Crago, Aamer Jaleel, Edgar Solomonik, Joel Emer, Christopher W. Fletcher

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture

Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler

Best Paper award
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

FirstPersonScience: Quantifying Psychophysics for First Person Shooter Tasks

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

4D CNN for semantic segmentation of cardiac volumetric sequences

Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set

Clemens Eppner, Arsalan Mousavian, Dieter Fox

Cardiac Segmentation of LGE MRI with Noisy Labels

Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu

Privacy-preserving Federated Brain Tumour Segmentation

Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sebastien Ourselin, M. Jorge Cardoso, Andrew Feng

Exascale Deep Learning for Scientific Inverse Problems

Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson

Reading Speed Decreases for Fast Readers Under Gaze-Contingent Rendering

Rachel Albert, Angelica Godinez, David Luebke

Learning Propagation for Arbitrarily-Structured Data

Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz

Few-Shot Viewpoint Estimation

Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz

Video Stitching for Linear Camera Arrays

Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz

Esports Arms Race: Latency and Refresh Rate for Competitive Gaming Tasks

Joohwan Kim, Josef Spjut, Morgan McGuire, Zander Majercik, Ben Boudaoud, Rachel Albert, David Luebke

A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator Designed with a High-Productivity VLSI Methodology

Rangharajan Venkatesan, Sophia Shao, Brian Zimmer, 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

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance

Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick McCormick, Alex Aiken

Representing robot task plans as robust logical-dynamical systems

Chris Paxton, Clemens Eppner, Nathan Ratliff, Dieter Fox

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

Foveated AR: Dynamically-Foveated Augmented Reality Display

Jonghyun Kim, Youngmo Jeong, Michael Stengel, Kaan Akşit, Rachel Albert, Ben Boudaoud, Trey Greer, Joohwan Kim, Ward Lopes, Zander Majercik, Peter Shirley, Josef Spjut, Morgan McGuire, David Luebke

Matching Prescription & Visual Acuity: Towards AR for Humans

Jonghyun Kim, Michael Stengel, Jui-Yi Wu, Ben Boudaoud, Josef Spjut, Kaan Akşit, Rachel Albert, Youngmo Jeong, Trey Greer, Ward Lopes, Zander Majercik, Peter Shirley, Morgan McGuire, David Luebke

Best in Show Award - Emerging Technology in SIGGRAPH 2019

GPU-Accelerated Atari Emulation for Reinforcement Learning

Steven Dalton, Iuri Frosio, Michael Garland

Temporally Dense Ray Tracing