Brandon Reagen

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David BrooksHaley Family Professor of Computer Science, Harvard UniversityAdresse e-mail validée de eecs.harvard.edu
Gu-Yeon WeiRobert and Suzanne Case Professor of EE and CS, Harvard University and Fellow, Samsung ResearchAdresse e-mail validée de eecs.harvard.edu
Bob AdolfGraduate Student, Harvard UniversityAdresse e-mail validée de seas.harvard.edu
Paul N WhatmoughQualcomm AI Research, Harvard UniversityAdresse e-mail validée de qti.qualcomm.com
Udit GuptaPhD Student, Harvard UniversityAdresse e-mail validée de g.harvard.edu
Yakun Sophia ShaoAssistant Professor, UC BerkeleyAdresse e-mail validée de berkeley.edu
Hsien-Hsin Sean LeeMetaAdresse e-mail validée de fb.com
Sae Kyu LeeHarvard UniversityAdresse e-mail validée de eecs.harvard.edu
Saketh RamaGraduate Student, Harvard UniversityAdresse e-mail validée de seas.harvard.edu
Xuan ZhangAssociate Professor, Washington UniversityAdresse e-mail validée de wustl.edu
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeAdresse e-mail validée de cam.ac.uk
Lillian PentecostAssistant Professor of Computer Science, Amherst CollegeAdresse e-mail validée de amherst.edu
Xiaodong WangResearch Scientist, Facebook Inc.Adresse e-mail validée de cornell.edu
Siddharth GargNew York UniversityAdresse e-mail validée de nyu.edu
Mark HempsteadAssociate Professor of Electrical and Computer Engineering, Tufts UniversityAdresse e-mail validée de tufts.edu
Zahra GhodsiAssistant Professor of Electrical and Computer Engineering, Purdue UniversityAdresse e-mail validée de purdue.edu
Vincent T. LeeResearch Scientist, Facebook Reality LabsAdresse e-mail validée de fb.com
Michael (Mike) GelbartVancouver Independent School for Science and TechnologyAdresse e-mail validée de visst.ca
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridAdresse e-mail validée de uam.es
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu

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Brandon Reagen

Assistant Professor, New York University

Adresse e-mail validée de nyu.edu - Page d'accueil

Computer Architecture Machine Learning Privacy VLSI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... International Symposium on Computer Architecture (ISCA) 43, 267-278, 2016	633	2016
Machine learning at facebook: Understanding inference at the edge CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ... 2019 IEEE international symposium on high performance computer architecture …, 2019	378	2019
Aladdin: A pre-rtl, power-performance accelerator simulator enabling large design space exploration of customized architectures YS Shao, B Reagen, GY Wei, D Brooks ACM SIGARCH Computer Architecture News 42 (3), 97-108, 2014	335	2014
MachSuite: Benchmarks for Accelerator Design and Customized Architectures B Reagen, R Adolf, YS Shao, D Wei, Gu-Yeon, Brooks IISWC, 2014	254	2014
Ares: A framework for quantifying the resilience of deep neural networks B Reagen, U Gupta, L Pentecost, P Whatmough, SK Lee, N Mulholland, ... Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018	242	2018
The architectural implications of facebook's dnn-based personalized recommendation U Gupta, CJ Wu, X Wang, M Naumov, B Reagen, D Brooks, B Cottel, ... 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020	197	2020
Fathom: Reference workloads for modern deep learning methods R Adolf, S Rama, B Reagen, GY Wei, D Brooks 2016 IEEE International Symposium on Workload Characterization (IISWC), 1-10, 2016	170	2016
Recnmp: Accelerating personalized recommendation with near-memory processing L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020	115	2020
Deeprecsys: A system for optimizing end-to-end at-scale neural recommendation inference U Gupta, S Hsia, V Saraph, X Wang, B Reagen, GY Wei, HHS Lee, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020	104	2020
Cheetah: Optimizing and accelerating homomorphic encryption for private inference B Reagen, WS Choi, Y Ko, VT Lee, HHS Lee, GY Wei, D Brooks 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021	74*	2021
A case for efficient accelerator design space exploration via bayesian optimization B Reagen, JM Hernández-Lobato, R Adolf, M Gelbart, P Whatmough, ... 2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017	72	2017
Masr: A modular accelerator for sparse rnns U Gupta, B Reagen, L Pentecost, M Donato, T Tambe, AM Rush, GY Wei, ... 2019 28th International Conference on Parallel Architectures and Compilation …, 2019	51	2019
The aladdin approach to accelerator design and modeling YS Shao, B Reagen, GY Wei, D Brooks IEEE Micro 35 (3), 58-70, 2015	50	2015
Deep learning for computer architects B Reagen, R Adolf, P Whatmough, GY Wei, D Brooks Synthesis Lectures on Computer Architecture 12 (4), 1-123, 2017	45	2017
Weightless: Lossy weight encoding for deep neural network compression B Reagan, U Gupta, B Adolf, M Mitzenmacher, A Rush, GY Wei, D Brooks International Conference on Machine Learning, 4324-4333, 2018	41	2018
Cryptonas: Private inference on a relu budget Z Ghodsi, AK Veldanda, B Reagen, S Garg Advances in Neural Information Processing Systems 33, 16961-16971, 2020	39	2020
Maxnvm: Maximizing dnn storage density and inference efficiency with sparse encoding and error mitigation L Pentecost, M Donato, B Reagen, U Gupta, S Ma, GY Wei, D Brooks Proceedings of the 52Nd Annual IEEE/ACM International Symposium on …, 2019	33	2019
On-chip deep neural network storage with multi-level eNVM M Donato, B Reagen, L Pentecost, U Gupta, D Brooks, GY Wei Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018	31	2018
DeepReDuce: Relu reduction for fast private inference NK Jha, Z Ghodsi, S Garg, B Reagen International Conference on Machine Learning, 4839-4849, 2021	29	2021
Quantifying acceleration: Power/performance trade-offs of application kernels in hardware B Reagen, YS Shao, GY Wei, D Brooks International Symposium on Low Power Electronics and Design (ISLPED), 395-400, 2013	29	2013

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