Publications

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

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  • 196 results found

2023

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Frank Wang
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavy, Gal Dalal
A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm
Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen Tell, Brian Zimmer, Charbel Sakr, William Dally, Tom Gray, Brucek Khailany
BufFormer: A Generative ML Framework for Scalable Buffering
Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Mark Haoxing Ren
Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System
Rachel Brown, Vasha DuTell, Bruce Walter, Ruth Rosenholtz, Peter Shirley, Morgan McGuire, David Luebke
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Frank Wang

2011

Allocation-oriented Algorithm Design with Application to GPU Computing, Ph.D. Dissertation
Duane Merrill
A Compile-Time Managed Multi-Level Register File Hierarchy
Mark Gebhart, Steve Keckler, William Dally
CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization
Michael Bauer, Henry Cook, Brucek Khailany
Improved Dual-Space Bounds for Simultaneous Motion and Defocus Blur
Samuli Laine, Tero Karras
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Kihwan Kim, Dongryeol Lee, Irfan Essa
Thrust: A Productivity-Oriented Library for CUDA
Nathan Bell, Jared Hoberock
Processing Device Arrays with C++ Metaprogramming
Jonathan Cohen
A Hybrid Method for Solving Tridiagonal Systems on the GPU
Yao Zhang, Jonathan Cohen, Andrew A. Davidson, John Owens
Efficient Triangle Coverage Tests for Stochastic Rasterization
Samuli Laine, Tero Karras
GPUs and the Future of Parallel Computing
Steve Keckler, William Dally, Brucek Khailany, Michael Garland, David Glasco
Interactive Indirect Illumination Using Voxel Cone Tracing
Cyril Crassin, Fabrice Neyret, Miguel Sainz, Simon Green, Elmar Eisemann
VoxelPipe: A Programmable Pipeline for 3D Voxelization
Jacopo Pantaleoni
Simpler and Faster HLBVH with Work Queues
Kirill Garanzha, Jacopo Pantaleoni, David McAllister
High-Performance Software Rasterization on GPUs
Samuli Laine, Tero Karras
High Performance and Scalable GPU Graph Traversal
Duane Merrill, Michael Garland, Andrew Grimshaw
Stochastic Transparency
Eric Enderton, Erik Sintorn, Peter Shirley, David Luebke
Temporal Light Field Reconstruction for Rendering Distribution Effects
Jaakko Lehtinen, Timo Aila, Jiawen Chen, Samuli Laine, Frédo Durand
Clipless Dual-Space Bounds for Faster Stochastic Rasterization
Samuli Laine, Timo Aila, Tero Karras, Jaakko Lehtinen
The Alchemy Screen-space Ambient Obscurance Algorithm
Morgan McGuire, Brian Osman, Michael Bukowski, Padraic Hennessy
Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods
Nathan Bell, Steven Dalton, Luke Olson
The Workflow Scale: Why 5x Faster Might Not Be Enough
Eric Enderton, Daniel Wexler
Stratified Sampling for Stochastic Transparency
Samuli Laine, Tero Karras
Energy-efficient Mechanisms for Managing Thread Context in Throughput Processors
Mark Gebhart, Daniel R. Johnson, David Tarjan, Steve Keckler, William Dally, Erik Lindholm, Kevin Skadron
Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU
Maxim Naumov
Decoupled Sampling for Graphics Pipelines
Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael Doggett, Frédo Durand