Paul N Whatmough

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Matthew MattinaVP of AI, MicrosoftDirección de correo verificada de alumni.princeton.edu
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
Shidhartha DasAMDDirección de correo verificada de amd.com
Yuhao ZhuUniversity of RochesterDirección de correo verificada de rochester.edu
Sae Kyu LeeHarvard UniversityDirección de correo verificada de eecs.harvard.edu
Chuteng ZhouArm Inc. / MITDirección de correo verificada de arm.com
Zhi-Gang Liuarm.comDirección de correo verificada de arm.com
Brandon ReagenAssistant Professor, New York UniversityDirección de correo verificada de nyu.edu
Igor FedorovMetaDirección de correo verificada de fb.com
Marco DonatoAssistant Professor, Tufts UniversityDirección de correo verificada de ece.tufts.edu
Venkatesh SaligramaAI Professor and Amazon ScholarDirección de correo verificada de bu.edu
Bob AdolfSoftware Research Scientist, IntelDirección de correo verificada de intel.com
Ananda SamajdarStaff Research Scientist, IBM ResearchDirección de correo verificada de ibm.com
Thierry TambeAssistant Professor of Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Ramon MatasPrincipal engineer @ nvidiaDirección de correo verificada de nvidia.com
Vijay Janapa ReddiHarvard UniversityDirección de correo verificada de eecs.harvard.edu
Glenn G. KoStochasticDirección de correo verificada de stochastic.ai
Izzat DarwazehUniversity College London-UCLDirección de correo verificada de ucl.ac.uk
Durmus Alp Emre AcarBoston UniversityDirección de correo verificada de bu.edu

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Paul N Whatmough

Qualcomm AI Research, Harvard University

Dirección de correo verificada de qti.qualcomm.com - Página principal

Machine Learning Hardware DSP Wireless Circuits


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Federated learning based on dynamic regularization DAE Acar, Y Zhao, RM Navarro, M Mattina, PN Whatmough, V Saligrama arXiv preprint arXiv:2111.04263, 2021	961	2021
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators B Reagen, PN Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... International Symposium on Computer Architecture (ISCA), Proceedings of the …, 2016	782	2016
Ares: A framework for quantifying the resilience of deep neural networks B Reagen, U Gupta, L Pentecost, PN Whatmough, SK Lee, N Mulholland, ... 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018	374	2018
Scale-Sim: Systolic CNN Accelerator Simulator A Samajdar, Y Zhu, PN Whatmough, M Mattina, T Krishna arXiv preprint arXiv:1811.02883, 2018	340	2018
MicroNets: Neural Network Architectures for Deploying tinyML Applications on Commodity Microcontrollers C Banbury, C Zhou, I Fedorov, R Matas, U Thakker, D Gope, ... Proceedings of Machine Learning and Systems 3, 2021	286	2021
A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim A Samajdar, JM Joseph, Y Zhu, P Whatmough, M Mattina, T Krishna IEEE International Symposium on Performance Analysis of Systems and Software …, 2020	230	2020
A 28nm SoC with a 1.2 GHz 568nJ/prediction Sparse Deep-Neural-Network Engine with >0.1 Timing Error Rate Tolerance for IoT Applications PN Whatmough, SK Lee, H Lee, S Rama, D Brooks, GY Wei Solid-State Circuits Conference (ISSCC), 2017 IEEE International, 242-243, 2017	211	2017
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers I Fedorov, RP Adams, M Mattina, PN Whatmough Advances in Neural Information Processing Systems (NeurIPS), 4978-4990, 2019	201	2019
EdgeBERT: Sentence-level energy optimizations for latency-aware multi-task nlp inference T Tambe, C Hooper, L Pentecost, T Jia, EY Yang, M Donato, V Sanh, ... MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021	125	2021
TinyLSTMs: Efficient neural speech enhancement for hearing aids I Fedorov, M Stamenovic, C Jensen, LC Yang, A Mandell, Y Gan, ... arXiv preprint arXiv:2005.11138, 2020	119	2020
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Y Zhu, A Samajdar, M Mattina, PN Whatmough 45th Annual International Symposium on Computer Architecture (ISCA), 547-560, 2018	113	2018
DNN ENGINE: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications PN Whatmough, SK Lee, D Brooks, GY Wei IEEE Journal of Solid-State Circuits (JSSC) 53 (9), 2722-2731, 2018	111	2018
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	111	2017
VLSI Architecture for a Reconfigurable Spectrally Efficient FDM Baseband Transmitter PN Whatmough, MR Perrett, S Isam, I Darwazeh IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) 59 (5 …, 2012	111	2012
VLSI Architecture for a Reconfigurable Spectrally Efficient FDM Baseband Transmitter PN Whatmough, MR Perrett, S Isam, I Darwazeh Circuits and Systems (ISCAS), 2011 IEEE International Symposium on, 1688-1691, 2011	111	2011
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference ZG Liu, PN Whatmough, M Mattina IEEE Computer Architecture Letters 19 (1), 34-37, 2020	102	2020
Scale-sim: Systolic CNN accelerator A Samajdar, Y Zhu, PN Whatmough, M Mattina, T Krishna CoRR, 2018	88	2018
S2TA: Exploiting structured sparsity for energy-efficient mobile CNN acceleration ZG Liu, PN Whatmough, Y Zhu, M Mattina 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022	83	2022
Debiasing model updates for improving personalized federated training DAE Acar, Y Zhao, R Zhu, R Matas, M Mattina, P Whatmough, ... International conference on machine learning, 21-31, 2021	82	2021
Mesorasi: Architecture support for point cloud analytics via delayed-aggregation Y Feng, B Tian, T Xu, P Whatmough, Y Zhu 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020	71	2020

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