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2019

On the Trend of Resilience for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

Award paper

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sankug Lym, Donghyuk Lee, Niladrish Chatterjee, Mike O'Connor, Mattan Erez

Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model

Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing (Mark) Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu

Manufacturing Application-Driven Foveated Near-Eye Displays

Kaan Akşit, Praneeth Chakravarthula, Kishore Rathinavel, Youngmo Jeong, Rachel Albert, Henry Fuchs, David Luebke

Timeloop: A Systematic Approach to DNN Accelerator Evaluation

Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Steve Keckler, Joel Emer

Ray Tracing Gems

Eric Haines, Tomas Akenine-Möller

Improving Temporal Antialiasing with Adaptive Ray Tracing

Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire

Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections

Alexander Reshetov

DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems

Aamer Jaleel, Eiman Ebrahimi, Sam Duncan

Informative Object Annotations: Tell Me Something I Don't Know

Lior Bracha, Gal Chechik

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

Yuval Atzmon, Gal Chechik

Rethinking full connectivity in recurrent neural networks

Matthijs Van keirsbilck, Alex Keller, Xiaodong Yang

Peter Shirley, Ingo Wald, Tomas Akenine-Möller, Eric Haines

Precision Improvements for Ray/Sphere Intersection

Eric Haines, Johannes Gunther, Tomas Akenine-Möller

Texture Level of Detail Strategies for Real-Time Ray Tracing

Tomas Akenine-Möller, Jim Nilsson, Magnus Andersson, Colin Barré-Brisebois, Robert Toth, Tero Karras

Simple Environment Map Filtering Using Ray Cones and Ray Differentials

Tomas Akenine-Möller, Jim Nilsson

A Fast and Robust Method for Avoiding Self-Intersection

Carsten Wächter, Nikolaus Binder

Efficient Generation of Points that Satisfy Two-Dimensional Elementary Intervals

Understanding the Future of Energy Efficiency in Multi-Module GPUs.

Akhil Arunkumar, Evgeny Bolotin, David Nellans, Carole-Jean Wu

Throughput-oriented GPU memory allocation

Isaac Gelado, Michael Garland

Massively Parallel Path Space Filtering

Nikolaus Binder, Sascha Fricke, Alex Keller

Metaoptimization on a Distributed System for Deep Reinforcement Learning

Greg Heinrich, Iuri Frosio

Unsupervised Stylish Image Description Generation via Domain Layer Norm

Cheng-Kuan Chen, Zhu-Feng Pan, Ming-Yu Liu, Min Sun

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz

A 1.17-pJ/b, 25-Gb/s/pin Ground-Referenced Single-Ended Serial Link for Off- and On-Package Communication Using a Process- and Temperature-Adaptive Voltage Regulator

John Poulton, John Wilson, Walker Turner, Brian Zimmer, Xi Chen, Sudhir Kudva, Sanquan Song, Stephen Tell, Nikola Nedovic, Wenxu Zhao, Sunil Sudhakaran, Tom Gray, William Dally

A Fusion Approach for Multi-Frame Optical Flow Estimation

Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz

Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions

Nikolaus Binder, Alex Keller

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