Publications | Research

2017

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

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