I will be joining the NYU faculty in Fall 2020 and am looking for PhD students!

Publications

For a compete list, PDFs, and citation counts please see Google scholar.


-2019-


The Architectural Implications of Facebook's DNN-based Personalized Recommendation

Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim Hazelwood, Bill Jia, Hsien-Hsin S Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang

Arxiv 2019


Demystifying Bayesian Inference Workloads

Yu Emma Wang, Yuhao Zhu, Glenn G Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks

ISPASS 2019


Machine learning at facebook: Understanding inference at the edge

Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang

HPCA 2019


-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


Assisting High-Level Synthesis Improve SpMV Benchmark Through Dynamic Dependence Analysis

Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David Brooks

TCAS II 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.

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