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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

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