Publications | Research

220 results found

Clear all

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

2015

CCICheck: Using μhb Graphs to Verify the Coherence-Consistency Interface

Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

A Scalable Architecture for Ordered Parallelism

Mark C. Jeffery, Suvinay Subramanian, Cong Yang, Joel Emer, Daniel Sanchez

A Fast and Accurate Analytical Technique to Compute the AVF of Sequential Bits in a Processor

Steve Raasch, Arijis Biswas, Jon Stephan, Paul Racunas, Joel Emer

Learning Sparse Metrics, One Feature at a Time

Yuval Atzmon, Uri Shalit, Gal Chechik

Robust Model-based 3D Head Pose Estimation

Gregory P Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz

Network Endpoint Congestion Control for Fine-Grained Communication

Ted Jiang, Larry Dennison, William Dally

Exploiting Asymmetry in Booth-Encoded Multipliers for Reduced Energy Multiplication

Mike O'Connor, Earl Swartzlander, Jr.

A System for Rapid, Automatic Shader Level-of-Detail

Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian

CloudLight: A System for Amortizing Indirect Lighting in Real-Time Rendering

Cyril Crassin, David Luebke, Michael Mara, Morgan McGuire, Brent Oster, Peter Shirley, Peter-Pike Sloan, Chris Wyman

Anatomy of GPU Memory System for Multi-Application Execution

Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Steve Keckler, Mahmut T. Kandemir, Chita R. Das

GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors

Joel Hestness, Steve Keckler, David A. Wood

MLMD: Maximum Likelihood Mixture Decoupling for Fast and Accurate Point Cloud Registration

Ben Eckart, Kihwan Kim, Alejandro Troccoli, Alonzo Kelly, Jan Kautz

AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods

Maxim Naumov, Marat Arsaev, Patrice Castonguay, Jonathan Cohen, Julien Demouth, Joe Eaton, Simon Layton, Nikolay Markovskiy, Istvan Reguly, Nikolai Sakharnykh, Vijay Sellappan, Robert Strzodka

Scavenger: Automating the Construction of Application-Optimized Memory Hierarchies

Hsin-Jung Yang, Kermin Fleming, Michael Adler, Felix Winterstein, Joel Emer

Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures

Michael Pellauer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy Almon, Neal Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel Emer

MemcachedGPU: Scaling-up Scale-out Key-value Stores

Tayler Hetherington, Mike O'Connor, Tor Aamodt

Designing Efficient Heterogeneous Memory Architectures

Evgeny Bolotin, David Nellans, Oreste Villa, Mike O'Connor, Alex Ramirez, Steve Keckler, Mike O'Connor

The SGGX microflake distribution

Eric Heitz, Jonathan Dupuy, Cyril Crassin, Carsten Dachsbacher

Accumulative Anti-Aliasing

Eric Enderton, Eric Lum, Christian Rouet, Oleg Kuznetsov

Decoupled Coverage Anti-Aliasing

Yuxiang Wang, Chris Wyman, Yong He, Pradeep Sen

An Adaptive Acceleration Structure for Screen-space Ray Tracing

Jan Kautz, Sven Widmer, Dawid Pajak, Andre Schulz, Kari Pulli, Michael Goesele, David Luebke

The Light Field Stereoscope

Fu-Chung Huang, David Luebke, Gordon Wetzstein

Stackless ray tracing of patches from feature-adaptive subdivision on GPUs

Nikolaus Binder, Alex Keller

Compressing Neural Networks with the Hashing Trick

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Improved Half Vector Space Light Transport

Johannes Hanika, Anton Kaplanyan, Carsten Dachsbacher