Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Gu-Yeon Wei

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots


Feb 05, 2021
Srivatsan Krishnan, Zishen Wan, Kshitij Bharadwaj, Paul Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi


  Access Paper or Ask Questions

RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference


Jan 29, 2021
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei


  Access Paper or Ask Questions

EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP


Dec 01, 2020
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei

* 11 pages plus references 

  Access Paper or Ask Questions

SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads


Dec 11, 2019
Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul Whatmough, Gu-Yeon Wei, David Brooks

* 14 pages, 20 figures 

  Access Paper or Ask Questions

A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM


Dec 03, 2019
Siming Ma, David Brooks, Gu-Yeon Wei


  Access Paper or Ask Questions

MLPerf Training Benchmark


Oct 30, 2019
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia


  Access Paper or Ask Questions

AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference


Oct 15, 2019
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David Brooks, Gu-Yeon Wei

* 10 pages 

  Access Paper or Ask Questions

Benchmarking TPU, GPU, and CPU Platforms for Deep Learning


Aug 06, 2019
Yu Emma Wang, Gu-Yeon Wei, David Brooks


  Access Paper or Ask Questions

Learning Low-Rank Approximation for CNNs


May 24, 2019
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei


  Access Paper or Ask Questions

Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks


May 24, 2019
Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei


  Access Paper or Ask Questions

Network Pruning for Low-Rank Binary Indexing


May 14, 2019
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei


  Access Paper or Ask Questions

Cloud No Longer a Silver Bullet, Edge to the Rescue


Feb 15, 2018
Yuhao Zhu, Gu-Yeon Wei, David Brooks


  Access Paper or Ask Questions

Weightless: Lossy Weight Encoding For Deep Neural Network Compression


Nov 13, 2017
Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks


  Access Paper or Ask Questions

Fathom: Reference Workloads for Modern Deep Learning Methods


Aug 23, 2016
Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David Brooks

* Proceedings of the IEEE International Symposium on Workload Characterization, 2016 

  Access Paper or Ask Questions