Publications

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

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  • 249 results found

2023

BufFormer: A Generative ML Framework for Scalable Buffering
Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Haoxing (Mark) 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
Cris Cecka
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
Group online adaptive learning
Alon Zweig, Gal Chechik
RTLCheck: Verifying Memory Consistency in RTL Designs
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Michael Pellauer
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Beyond the Socket: NUMA-Aware GPUs
Ugljesa Milic, Oreste Villa, Evgeny Bolotin, Akhil Arunkumar, Eiman Ebrahimi, Aamer Jaleel, Alex Ramirez, David Nellans