Brandon Reagen

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David BrooksHaley Family Professor of Computer Science, Harvard UniversityDirección de correo verificada de eecs.harvard.edu
Gu-Yeon WeiRobert and Suzanne Case Professor of EE and CS, Harvard UniversityDirección de correo verificada de eecs.harvard.edu
Bob AdolfSoftware Research Scientist, IntelDirección de correo verificada de intel.com
Paul N WhatmoughQualcomm AI Research, Harvard UniversityDirección de correo verificada de qti.qualcomm.com
Yakun Sophia ShaoAssistant Professor, UC BerkeleyDirección de correo verificada de berkeley.edu
Hsien-Hsin Sean LeeMetaDirección de correo verificada de fb.com
Sae Kyu LeeHarvard UniversityDirección de correo verificada de eecs.harvard.edu
Siddharth GargNew York UniversityDirección de correo verificada de nyu.edu
Saketh RamaGraduate Student, Harvard UniversityDirección de correo verificada de seas.harvard.edu
Xuan ZhangAssociate Professor, Northeastern UniversityDirección de correo verificada de northeastern.edu
José Miguel Hernández-LobatoProfessor of Machine Learning, University of CambridgeDirección de correo verificada de cam.ac.uk
Zahra GhodsiAssistant Professor of Electrical and Computer Engineering, Purdue UniversityDirección de correo verificada de purdue.edu
Lillian PentecostAssistant Professor of Computer Science, Amherst CollegeDirección de correo verificada de amherst.edu
Xiaodong WangResearch Scientist, Facebook Inc.Dirección de correo verificada de cornell.edu
Mark HempsteadAssociate Professor of Electrical and Computer Engineering, Tufts UniversityDirección de correo verificada de tufts.edu
Michael (Mike) GelbartVancouver Independent School for Science and TechnologyDirección de correo verificada de visst.ca
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridDirección de correo verificada de uam.es
Ryan P. AdamsPrinceton UniversityDirección de correo verificada de princeton.edu
Robert J WoodHarvard UniversityDirección de correo verificada de seas.harvard.edu

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Brandon Reagen

Assistant Professor, New York University

Dirección de correo verificada de nyu.edu - Página principal

Computer Architecture Machine Learning Privacy VLSI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	731	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	511	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	383	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	322	2018
MachSuite: Benchmarks for Accelerator Design and Customized Architectures B Reagen, R Adolf, YS Shao, D Wei, Gu-Yeon, Brooks IISWC, 2014	308	2014
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	274	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	198	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	190	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	168	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	150*	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	96	2017
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	80	2020
Deepreduce: Relu reduction for fast private inference NK Jha, Z Ghodsi, S Garg, B Reagen International Conference on Machine Learning, 4839-4849, 2021	79	2021
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	60	2019
The aladdin approach to accelerator design and modeling YS Shao, B Reagen, GY Wei, D Brooks IEEE Micro 35 (3), 58-70, 2015	58	2015
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	49	2018
Deep learning for computer architects B Reagen, R Adolf, P Whatmough, GY Wei, D Brooks, M Martonosi Morgan & Claypool, 2017	47	2017
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	41	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	37	2018
Porcupine: A synthesizing compiler for vectorized homomorphic encryption M Cowan, D Dangwal, A Alaghi, C Trippel, VT Lee, B Reagen Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021	33	2021

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