Publications
For a compete list, PDFs, and citation counts please see Google scholar.
-2018-
Weightless: Lossy Weight Encoding For Deep Neural Network Compression
Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander Rush, Gu-Yeon Wei, David Brooks
ICML 2018
Ares: A Framework for Quantifying the Resilience of Deep Neural Networks
Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul Whatmough, Sae Kyu Lee, Gu-Yeon Wei, David Brooks
DAC 2018 ( Best Paper Nomination! )
On-Chip Deep Neural Network Storage with Multi-Level eNVM
Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, Gu-Yeon Wei, David Brooks
DAC 2018
-2017-
Deep Learning for Computer Architects
Brandon Reagen, Robert Adolf, Paul Whatmough, Gu-Yeon Wei, David
Synthesis Lecture 2017
A Fully-Integrated Battery-Powered System-on-Chip in 40-nm CMOS for Closed-Loop Control of Insect-Scale Pico-Aerial Vehicle
Xuan Zhang, Mario Lok, Tao Tong, Sae Kyu Lee, Brandon Reagen, Simon Chaput, Pierre-Emile J Duhamel, Robert J Wood, David Brooks, Gu-Yeon Wei
JSSC 2017
A Case for Efficient Accelerator Design Space Exploration via Bayesian Optimization
Brandon Reagen, Jose-Miguel Hernández-Lobato, Robert Adolf, Michael Gelbart, Paul Whatmough, Gu-Yeon Wei, David Brooks
ISLPED 2017
Using Dynamic Dependence Analysis to Improve the quality of High-Level Synthesis Designs
Rafael Garibotti, Brandon Reagen, Sophia Shao, Gu-Yeon Wei, David Brooks
ISCAS 2017
The Design and Evolution of Deep Learning Workloads
Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David Brooks
IEEE MICRO 2017
-2016-
Fathom: Reference Workloads for Modern Deep Learning Methods
Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David Brooks
IISWC 2016
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
Brandon Reagen, Paul Whatmough, Robert Adolf, Saketh Rama, Hyungkwong Lee, Sae Kyu Lee, Jose-Miguel Hernández-Lobato, Gu-Yeon Wei, David Brooks
ISCA 2016
-2015-
A Multi-Chip System Optimized for Insect-Scale Flapping-Wing Robots
Xuan Zhang, Mario Lok, Tao Tong, Simon Chaput, Sae Kyu Lee, Brandon Reagen, Hyungkwong Lee, David Brooks, Gu-Yeon Wei
VLSI 2015
The Aladdin Approach to Accelerator Design and Modeling
Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David Brooks
IEEE MICRO, Top Picks 2015
-2014-
MachSuite: Benchmarks for Accelerator Design and Customized Architectures
Brandon Reagen, Robert Adolf, Sophia Shao, Gu-Yeon Wei, David Brooks
IISWC 2014
Aladdin: A Pre-RTL, Power-Performance Accelerator Simulator Enabling Large Design Space Exploration of Customized Architectures
Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David Brooks
ISCA 2014
-2013-
Quantifying Acceleration: Power/Performance Trade-offs of Application Kernels in Hardware
Brandon Reagen, Sophia Shao, Gu-Yeon Wei, David Brooks
ISLPED 2013
-2012-
Joined Harvard as a PhD student.