Publications

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

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  • 123 results found

2024

Novel Transformer Model Based Clustering Method for Standard Cell Design Automation
Chia-Tung (Mark) Ho, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Haoxing (Mark) Ren
Best Paper Award
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner
Rongjian Liang, Anthony Agnesina, Haoxing (Mark) Ren
GPU/ML-Enhanced Large Scale Global Routing Contest
Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing (Mark) Ren
Consolidating Attention Features for Multi-view Image Editing
Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
Evaluating and Improving Rendered Visual Experiences: Metrics, Compression, Higher Frame Rates & Recoloring
Pontus Ebelin
ConsiStory: Training-Free Consistent Text-to-Image Generation
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan Chen
Estimates of Temporal Edge Detection Filters in Human Vision
Pontus Ebelin, Gyorgy Denes, Tomas Akenine-Möller, Kalle Åström, Magnus Oskarsson, William H. McIlhagga
Interactive Texture Painting with Generative AI
Anita Hu, Nishkrit Desai, Ashley Goldstein, Hassan Abu Alhaija, Seung Wook Kim, Daniela Hasenbring, Alex Zook, Rajeev Rao, Maria Shugrina
Quantum computing with subwavelength atomic arrays
Freya Shah, Taylor Patti, Oriol Rubies-Bigorda, Susanne F. Yelin
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition
Aleksandr Laptev, Boris Ginsburg
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas Guibas, Lin Gao
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

2008

Efficient Parallel Scan Algorithms for GPUs
Shubhabrata Sengupta, Mark Harris, Michael Garland
Efficient Sparse Matrix-Vector Multiplication on CUDA
Nathan Bell, Michael Garland
A Layered, Heterogeneous Reflectance Model for Acquiring and Rendering Human Skin
Craig Donner, Tim Weyrich, Eugene d'Eon, Ravi Ramamoorthi, Szymon Rusinkiewicz
Lossless and Near Lossless Compression of Real Color Filter Array data
Karen Eguiazarian, co-author: Andriy Bazhyna
On the Visualization of Social and Other Scale-Free Networks
Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart
Rapid Multipole Graph Drawing on the GPU
Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart
Parallel Computing Experiences with CUDA
Michael Garland, Scott Le Grand, John Nickolls, Joshua Anderson, Jim Hardwick, Scott Morton, Everett Phillips, Yao Zhang, Vasily Volkov
A Meshless Hierarchical Representation for Light Transport
Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, François Sillion, Fredo Durand, Timo Aila
Low Viscosity Flow Simulations for Animation
M .Jeroen Molemaker, Jonathan Cohen, Sanjit Patel, Jun-Yong Noh
Real-time Editing and Relighting of Homogeneous Translucent Materials
Rui Wang, Qianyong Chen, Ewen Cheslack-Postava, David Luebke, Rui Wang, Qunsheng Peng, Hujun Bao
GPU Computing
John D. Owens, Mike Houston, David Luebke, Simon Green, John E. Stone, James C. Phillips
NVIDIA Tesla: A Unified Graphics and Computing Architecture
Erik Lindholm, John Nickolls, Stuart Oberman, John Montrym
Free-form Motion Processing
Scott Kircher, Michael Garland
Scalable Parallel Programming with CUDA
John Nickolls, Ian Buck, Michael Garland, Kevin Skadron