Publications

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

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2017

SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally
Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism
Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez
Parallel Modularity Clustering
Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms
Kevin Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms
Donghyuk Lee, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu
Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors
Benjamin Klenk, Holger Fröning, Hans Eberle, Larry Dennison
Best Paper Award
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
The Iray Light Transport Simulation and Rendering System
Alex Keller, Carsten Wächter, Matthias Raab, Daniel Seibert, Dietger van Antwerpen, Johann Korndörfer, Lutz Kettner
SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz
Consistent Video Filtering for Camera Arrays
Nicolas Bonneel, James Tompkin, Deqing Sun, Oliver Wang, Kalyan Sunkavalli, Sylvain Paris, Hanspeter Pfister
Context-aware Captions from Context-agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie
Automated Synthesis of Comprehensive Memory Model Litmus Test Suites
Daniel Lustig, Andrew Wright, Alexandros Papakonstantinou, Olivier Giroux
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
IEEE Micro Top Picks in Computer Architecture
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz, Mohammad Babaeizadeh
Wide Field Of View Varifocal Near-Eye Display Using See-Through Deformable Membrane Mirrors
David Dunn, Kaan Akşit, David Luebke
Phenomenological Transparency
Morgan McGuire, Michael Mara
Parallel Depth-First Search for Directed Acyclic Graphs
Maxim Naumov, Alysson Vrielink, Michael Garland
Loss Functions for Image Restoration with Neural Networks
Hang Zhao, Orazio Gallo, Iuri Frosio, Jan Kautz
SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies
Hasan Hassan, Nandita Vijaykumar, Samira Khan, Saugata Ghose, Kevin Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu
Architecting an Energy-Efficient DRAM System for GPUs
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel Johnson, Minsoo Rhu, Steve Keckler, William Dally
Real-Time Global Illumination using Precomputed Light Field Probes
Morgan McGuire, Mike Mara, Derek Nowrouzezahrai, David Luebke
Hashed Alpha Testing
Chris Wyman, Morgan McGuire
Learning Light Transport the Reinforced Way
Ken Dahm, Alex Keller

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
Towards Foveated Rendering for Gaze-Tracked Virtual Reality
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, Aaron Lefohn
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree, Jason Clemons, Jan Kautz
Counterexamples and Proof Loophole for the C/C++ to POWER and ARMv7 Trailing-Sync Compiler Mappings
Yatin A. Manerkar, Caroline Trippel, Daniel Lustig, Michael Pellauer, Margaret Martonosi
Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks
Dimitrios Skarlatos, Renji Thomas, Aditya Agrawal, Shibin Qin, Robert Pilawa-Podgurski, Ulya R. Karpuzcu, Radu Teodorescu, Nam Sung Kim, Josep Torrellas