Publications

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

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2017

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
CANDY: Enabling Coherent DRAM Caches for Multi-Node Systems
Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi
Co-Designing Accelerators and SoC Interfaces Using gem5-Aladdin
Yakun Sophia Zhao, Sam (Likun) Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David Brooks
Data-Centric Execution of Speculative Parallel Programs
Mark C. Jeffrey, Suvinay Subramanian, Maleen Abeydeera, Joel Emer, Daniel Sanchez
A Patch Memory System For Image Processing and Computer Vision.
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel Johnson, Steve Keckler
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
The Bunker Cache for Spatio-Value Approximation
Joshua San Miguel, Jorge Albericio, Aamer Jaleel, Natalie Enright Jerger
Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency
Radha Venkatagiri, Abdulrahman Mahmoud, Siva Hari, Sarita Adve
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
CLARA: Circular Linked-List Auto- and Self-Refresh Architecture
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Steve Keckler
Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification
Xiaodong Yang, Pavlo Molchanov, Jan Kautz
Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs
Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson
Learning to generalize to new compositions in image understanding
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik
TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA
Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi
Aggregate G-Buffer Anti-Aliasing in Unreal Engine 4
Louis Bavoil, Cyril Crassin
A System for Rapid Exploration of Shader Optimization Choices
Yong He, Theresa Foley, Kayvon Fatahalian
GI next: global illumination for production rendering on GPUs
Enzo Catalano, Rajko Yasui-Schöffel , Ken Dahm, Nikolaus Binder, Alex Keller
Estimating Local Beckmann Roughness for Complex BSDFs
Nicolas Holzschuch, Anton Kaplanyan, Johannes Hanika, Carsten Dachsbacher
Perceptually-Based Foveated Virtual Reality
Anjul Patney, Joohwan Kim, Marco Salvi, Anton Kaplanyan, Chris Wyman, Nir Benty, Aaron Lefohn, David Luebke