Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Skip to main content
Publications
Our publications provide insight into some of our leading-edge research.
Filters
Search
Apply
Filters
Filters
Publication Year
2025
(46)
2024
(110)
2023
(164)
2022
(165)
2021
(153)
2020
(135)
2019
(123)
2018
(107)
2017
(85)
2016
(57)
2015
(52)
2014
(23)
2013
(26)
2012
(20)
2011
(29)
2010
(19)
2009
(9)
2008
(14)
2007
(10)
2006
(1)
2005
(3)
2003
(1)
2001
(1)
Facet Publication Year
Research Areas
Artificial Intelligence and Machine Learning
(67)
Computer Vision
(48)
Computer Graphics
(25)
Computer Architecture
(23)
Robotics
(19)
Circuits and VLSI Design
(12)
Resilience and Safety
(12)
Real-Time Rendering
(9)
Algorithms and Numerical Methods
(8)
High Performance Computing
(8)
VR, AR and Display Technology
(8)
Generative AI
(6)
Autonomous Vehicles
(5)
Medical
(5)
Programming Languages, Systems and Tools
(5)
Speech Processing
(5)
Computational Photography and Imaging
(4)
Human Computer Interaction
(4)
Hyperscale Graphics
(3)
Applied Perception
(2)
Natural Language Processing
(2)
Esports
(1)
Networking
(1)
Events
CVPR
(1)
ICRA
(3)
IROS
(2)
NeurIPS
(1)
144 results found
Clear all
2020
2009
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
2009
Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors
Nathan Bell,
Michael Garland
Increasing Memory Miss Tolerance for SIMD Cores
David Tarjan, Jiayuan Meng, Kevin Skadron
Solving Computational Problems with GPU Computing
Jonathan Cohen,
Michael Garland
Understanding the Efficiency of Ray Traversal on GPUs
Timo Aila
,
Samuli Laine
Hardware-Accelerated Global Illumination by Image Space Photon Mapping
Morgan McGuire,
David Luebke
Image Space Gathering
Austin Robison, Peter Shirley
Designing Efficient Sorting Algorithms for Manycore GPUs
Nadathur Satish, Mark Harris,
Michael Garland
A Fast Double Precision CFD Code Using CUDA
Jonathan Cohen, M. Jeroen Molemaker
Fast BVH Construction on GPUs
Christian Lauterbach,
Michael Garland
, Shubhabrata Sengupta,
David Luebke
, Dinesh Manocha
Pagination
First page
« First
Previous page
‹ Previous
Page
1
Page
2
Page
3
Page
4
Current page
5