Publications | Research

252 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

2017

Integrating External Resources with a Task-Based Programming Model

Zhihao Jia, Sean Treichler, Galen Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick McCormick, Alex Aiken

Parallel Complexity of Forward and Backward Propagation

Maxim Naumov

Integral Equations and Machine Learning

Alex Keller, Ken Dahm

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

Aditya Devarakonda, Maxim Naumov, Michael Garland

On Nearest Neighbors in Non Local Means Denoising

Iuri Frosio, Jan Kautz

Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control

Mengyuan Yan, Iuri Frosio, Stephen Tyree, Jan Kautz

Unsupervised Image-to-Image Translation Networks

Ming-Yu Liu, Thomas Breuel, Jan Kautz

Learning Affinity via Spatial Propagation Networks

Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, Jan Kautz

Near-Eye Varifocal Augmented Reality Display using See-Through Screens

Kaan Akşit, Ward Lopes, Jonghyun Kim, Peter Shirley, David Luebke

Perceptually-Guided Foveation for Light Field Displays

Qi Sun, Fu-Chung Huang, Joohwan Kim, Li-Yi Wei, David Luebke, Arie Kaufman

Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics

Liang Shi, Fu-Chung Huang, Ward Lopes, Wojciech Matusik, David Luebke

Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs

Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis

Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler

Control Replication: Compiling Implicit Parallelism to Efficient SPMD with Logical Regions

Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen Shipman, Patrick McCormick, Alex Aiken

Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications

Guanpeng Li, Siva Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Steve Keckler

Low Communication FMM-Accelerated FFT on GPUs

Parallel Jaccard and Related Graph Clustering Techniques

Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov

Learning to Super-Resolve Blurry Face and Text Images

Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, Ming-Hsuan Yang

A Lightweight Approach for On-the-Fly Reflectance Estimation

Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz

Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting

Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner

Semantic Video CNNs through Representation Warping

Raghudeep Gadde, Varun Jampani, Peter V. Gehler

Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems

Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Steve Keckler, William Dally

Xylem: Enhancing Vertical Thermal Conduction in 3D Processor-Memory Stacks

Aditya Agrawal, Josep Torrellas, Sachin Idgunji

Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology

Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry

Detecting and Mitigating Data-Dependent DRAM Failures by Exploiting Current Memory Content

Samira Khan, Chris Wilkerson, Zhe Wang, Alaa R. Alameldeen, Donghyuk Lee, Onur Mutlu