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P. Whatmough · SciRah

Researcher profile · Semantic Scholar

P. Whatmough

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P. Whatmough — researcher profile on SciRah

h-index: 32
Works: 91
Citations: 5,423

Most-cited papers

Federated Learning Based on Dynamic Regularization
D. A. E. Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina +2 more
2021International Conference on Learning Representations1,297 citations
Semantic Scholar
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
Brandon Reagen, P. Whatmough, Robert Adolf, Saketh Rama +5 more
2016International Symposium on Computer Architecture616 citations
Semantic Scholar
Ares: A framework for quantifying the resilience of deep neural networks
Brandon Reagen, Udit Gupta, Lillian Pentecost, P. Whatmough +4 more
2018Design Automation Conference376 citations Open access
Semantic Scholar
A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim
A. Samajdar, J. Joseph, Yuhao Zhu, P. Whatmough +2 more
2020IEEE International Symposium on Performance Analysis of Systems and Software265 citations
Semantic Scholar
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina, P. Whatmough
2019Neural Information Processing Systems181 citations
Semantic Scholar
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
Thierry Tambe, C. Hooper, Lillian Pentecost, Tianyu Jia +7 more
2020Micro180 citations Open access
Semantic Scholar
14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications
P. Whatmough, Sae Kyu Lee, Hyunkwang Lee, Saketh Rama +2 more
2017IEEE International Solid-State Circuits Conference156 citations
Semantic Scholar
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids
Igor Fedorov, Marko Stamenovic, Carl R. Jensen, Li-Chia Yang +4 more
2020Interspeech139 citations Open access
Semantic Scholar
SCALE-Sim: Systolic CNN Accelerator
A. Samajdar, Yuhao Zhu, P. Whatmough, Matthew Mattina +1 more
2018arXiv.org138 citations
Semantic Scholar
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
Zhi-gang Liu, P. Whatmough, Yu-Hao Zhu, Matthew Mattina
2021International Symposium on High-Performance Computer Architecture122 citations Open access
Semantic Scholar
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference
Zhi-gang Liu, P. Whatmough, Matthew Mattina
2020IEEE computer architecture letters102 citations Open access
Semantic Scholar
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
Yuhao Zhu, A. Samajdar, Matthew Mattina, P. Whatmough
2018International Symposium on Computer Architecture101 citations Open access
Semantic Scholar
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation
Yu Feng, Bo-Yuan Tian, Tiancheng Xu, P. Whatmough +1 more
2020Micro91 citations Open access
Semantic Scholar
DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications
P. Whatmough, Sae Kyu Lee, D. Brooks, Gu-Yeon Wei
2018IEEE Journal of Solid-State Circuits88 citations
Semantic Scholar
A case for efficient accelerator design space exploration via Bayesian optimization
Brandon Reagen, José Miguel Hernández-Lobato, Robert Adolf, M. Gelbart +3 more
2017International Symposium on Low Power Electronics and Design87 citations Open access
Semantic Scholar
Debiasing Model Updates for Improving Personalized Federated Training
D. A. E. Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro +3 more
2021International Conference on Machine Learning81 citations
Semantic Scholar
22.9 A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management
Thierry Tambe, J. Zhang, C. Hooper, Tianyu Jia +10 more
2023IEEE International Solid-State Circuits Conference74 citations
Semantic Scholar
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
P. Whatmough, Chuteng Zhou, Patrick Hansen, S. K. Venkataramanaiah +2 more
2019arXiv.org67 citations
Semantic Scholar
On-Chip Memory Technology Design Space Explorations for Mobile Deep Neural Network Accelerators
Haitong Li, M. Bhargava, P. Whatmough, H. Wong
2019Design Automation Conference67 citations
Semantic Scholar
Circuit-Level Timing Error Tolerance for Low-Power DSP Filters and Transforms
P. Whatmough, Shidhartha Das, David M. Bull, I. Darwazeh
2013IEEE Transactions on Very Large Scale Integration (vlsi) Systems66 citations
Semantic Scholar
VLSI architecture for a reconfigurable Spectrally Efficient FDM baseband transmitter
P. Whatmough, M. Perrett, Safa Isam, I. Darwazeh
2011International Symposium on Circuits and Systems57 citations
Semantic Scholar
ASV: Accelerated Stereo Vision System
Yu Feng, P. Whatmough, Yu-Hao Zhu
2019Micro44 citations Open access
Semantic Scholar
Searching for Winograd-aware Quantized Networks
Javier Fernandez-marques, P. Whatmough, Andrew Mundy, Matthew Mattina
2020Conference on Machine Learning and Systems43 citations
Semantic Scholar
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai +6 more
2023IEEE Journal of Solid-State Circuits41 citations Open access
Semantic Scholar
Modeling and characterization of the system-level Power Delivery Network for a dual-core ARM Cortex-A57 cluster in 28nm CMOS
Shidhartha Das, P. Whatmough, David M. Bull
2015International Symposium on Low Power Electronics and Design41 citations
Semantic Scholar
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation
Chuteng Zhou, Prad Kadambi, Matthew Mattina, P. Whatmough
2020arXiv.org40 citations
Semantic Scholar
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, P. Whatmough +4 more
2020IEEE computer architecture letters37 citations
Semantic Scholar
SMAUG
S. Xi, Yuan Yao, Kshitij Bhardwaj, P. Whatmough +2 more
2019ACM Transactions on Architecture and Code Optimization (TACO)37 citations Open access
Semantic Scholar
FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access
Jian Meng, S. K. Venkataramanaiah, Chuteng Zhou, Patrick Hansen +2 more
2021International Conference on Field-Programmable Logic and Applications36 citations
Semantic Scholar
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators
P. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh +6 more
2019Symposium on VLSI Circuits34 citations
Semantic Scholar
A Low-Power 1-GHz Razor FIR Accelerator With Time-Borrow Tracking Pipeline and Approximate Error Correction in 65-nm CMOS
P. Whatmough, Shidhartha Das, David M. Bull
2014IEEE Journal of Solid-State Circuits34 citations
Semantic Scholar
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles
Srivatsan Krishnan, Zi-Shen Wan, Kshitij Bhardwaj, P. Whatmough +5 more
2022Micro33 citations Open access
Semantic Scholar
Applications of Deep Neural Networks for Ultra Low Power IoT
S. Kodali, Patrick Hansen, Niamh Mulholland, P. Whatmough +2 more
2017ICCD32 citations
Semantic Scholar
System-Efficiency Analysis of Power Amplifier Supply-Tracking Regimes in Mobile Transmitters
B. Minnis, P. Moore, P. Whatmough, P. Blanken +1 more
2009IEEE Transactions on Circuits and Systems Part 1: Regular Papers32 citations
Semantic Scholar
Efficient Edge Inference by Selective Query
Anil Kag, Igor Z. Fedorov, Aditya Gangrade, P. Whatmough +1 more
2023International Conference on Learning Representations30 citations
Semantic Scholar
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai +6 more
2021IEEE International Solid-State Circuits Conference28 citations
Semantic Scholar
Deep Learning for Computer Architects
Brandon Reagen, Robert Adolf, P. Whatmough, Gu-Yeon Wei +1 more
2017Synthesis Lectures on Computer Architecture28 citations
Semantic Scholar
Power Integrity Analysis of a 28 nm Dual-Core ARM Cortex-A57 Cluster Using an All-Digital Power Delivery Monitor
P. Whatmough, Shidhartha Das, Zacharias Hadjilambrou, David M. Bull
2017IEEE Journal of Solid-State Circuits27 citations Open access
Semantic Scholar
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators
Sae Kyu Lee, P. Whatmough, Marco Donato, Glenn G. Ko +2 more
2022IEEE Journal of Solid-State Circuits26 citations
Semantic Scholar
Mobile Machine Learning Hardware at ARM: A Systems-on-Chip (SoC) Perspective
Yuhao Zhu, Matthew Mattina, P. Whatmough
2018arXiv.org24 citations
Semantic Scholar
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator
Chuteng Zhou, F. G. Redondo, J. Büchel, I. Boybat +6 more
2022IEEE Micro22 citations
Semantic Scholar
14.6 An all-digital power-delivery monitor for analysis of a 28nm dual-core ARM Cortex-A57 cluster
P. Whatmough, Shidhartha Das, Zacharias Hadjilambrou, David M. Bull
2015IEEE International Solid-State Circuits Conference22 citations
Semantic Scholar
ISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems
Patrick Hansen, Alexey Vilkin, Yury Krustalev, J. Imber +4 more
2021International Conference on Pattern Recognition21 citations
Semantic Scholar
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou, F. G. Redondo, J. Büchel, I. Boybat +6 more
2021arXiv.org20 citations
Semantic Scholar
GeST: An Automatic Framework For Generating CPU Stress-Tests
Zacharias Hadjilambrou, Shidhartha Das, P. Whatmough, David M. Bull +1 more
2019IEEE International Symposium on Performance Analysis of Systems and Software20 citations
Semantic Scholar
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators
Abhishek Tyagi, Yi-Ming Gan, Shaoshan Liu, Bo Yu +2 more
2022arXiv.org19 citations Open access
Semantic Scholar
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
Igor Fedorov, Ramon Matas, Hokchhay Tann, Chu Zhou +2 more
2022Neural Information Processing Systems19 citations
Semantic Scholar
CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development
P. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee +2 more
2020IEEE Micro19 citations Open access
Semantic Scholar
A 16-nm Always-On DNN Processor With Adaptive Clocking and Multi-Cycle Banked SRAMs
Sae Kyu Lee, P. Whatmough, D. Brooks, Gu-Yeon Wei
2019IEEE Journal of Solid-State Circuits19 citations Open access
Semantic Scholar
A low-power 1GHz razor FIR accelerator with time-borrow tracking pipeline and approximate error correction in 65nm CMOS
P. Whatmough, Shidhartha Das, David M. Bull
20132013 IEEE International Solid-State Circuits Conference Digest of Technical Papers19 citations
Semantic Scholar

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