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Paul N. Whatmough

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

34

Venues

19

Active years

2010–2024

Best venue rank

A*

Where they publish

Papers

34 indexed papers, newest first.

YearVenueTitleAuthors
2024ISPASSCharacterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator.Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhou, Paul N. Whatmough, Yuhao Zhu
2023ICLREfficient Edge Inference by Selective Query.Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
2023ISLPEDAR-PIM: An Adaptive-Range Processing-in-Memory Architecture.Teyuh Chou, Fernando Garca-Redondo, Paul N. Whatmough, Zhengya Zhang
2023WACVFast and Accurate: Video Enhancement Using Sparse Depth.Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
2022DATESuper-Efficient Super Resolution for Fast Adversarial Defense at the Edge.Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
2022HPCAS2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration.Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina
2022ISSREBraum: Analyzing and Protecting Autonomous Machine Software Stack.Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu
2022MICROAutomatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles.Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2021FPLFixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access.Jian Meng, Shreyas Kolala Venkataramanaiah, Chuteng Zhou, Patrick Hansen, Paul N. Whatmough, Jae-sun Seo
2021ICLRFederated Learning Based on Dynamic Regularization.Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021ICMLDebiasing Model Updates for Improving Personalized Federated Training.Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021ISITStrong data processing inequality in neural networks with noisy neurons and its implications.Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough
2021MICROEdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020ICPRISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems.Patrick Hansen, Alexey Vilkin, Yury Krustalev, James Imber, Dumidu S. Talagala, David Hanwell, Matthew Mattina, Paul N. Whatmough
2020InterspeechTinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids.Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough
2020ISPASSA Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim.Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
2020MICROMesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation.Yu Feng, Boyuan Tian, Tiancheng Xu, Paul N. Whatmough, Yuhao Zhu
2019DACOn-Chip Memory Technology Design Space Explorations for Mobile Deep Neural Network Accelerators.Haitong Li, Mudit Bhargava, Paul N. Whatmough, H.-S. Philip Wong
2019ISPASSGeST: An Automatic Framework For Generating CPU Stress-Tests.Zacharias Hadjilambrou, Shidhartha Das, Paul N. Whatmough, David M. Bull, Yiannakis Sazeides
2019MICROASV: Accelerated Stereo Vision System.Yu Feng, Paul N. Whatmough, Yuhao Zhu
2018DACAres: a framework for quantifying the resilience of deep neural networks.Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei
2018ISCAEuphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision.Yuhao Zhu, Anand Samajdar, Matthew Mattina, Paul N. Whatmough
2017ACSSCSub-uJ deep neural networks for embedded applications.Paul N. Whatmough, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks
2017ICCDApplications of Deep Neural Networks for Ultra Low Power IoT.Sreela Kodali, Patrick Hansen, Niamh Mulholland, Paul N. Whatmough, David M. Brooks, Gu-Yeon Wei
2017ISLPEDA case for efficient accelerator design space exploration via Bayesian optimization.Brandon Reagen, Jos Miguel Hernndez-Lobato, Robert Adolf, Michael A. Gelbart, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks
2016ISCAMinerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators.Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, Jos Miguel Hernndez-Lobato, Gu-Yeon Wei, David M. Brooks
2016ISCASA low-power correlator for wakeup receivers with algorithm pruning through early termination.Reza Ghanaatian, Paul N. Whatmough, Jeremy Constantin, Adam Teman, Andreas Burg
2015ISLPEDModeling and characterization of the system-level Power Delivery Network for a dual-core ARM Cortex-A57 cluster in 28nm CMOS.Shidhartha Das, Paul N. Whatmough, David M. Bull
2015ISLPEDAnalysis of adaptive clocking technique for resonant supply voltage noise mitigation.Paul N. Whatmough, Shidhartha Das, David M. Bull
2014DATEClock-modulation based watermark for protection of embedded processors.Jedrzej Kufel, Peter R. Wilson, Stephen Hill, Bashir M. Al-Hashimi, Paul N. Whatmough, James Myers
2012ASPDACSelective time borrowing for DSP pipelines with hybrid voltage control loop.Paul N. Whatmough, Shidhartha Das, David M. Bull, Izzat Darwazeh
2011DACError-resilient low-power DSP via path-delay shaping.Paul N. Whatmough, Shidhartha Das, David M. Bull, Izzat Darwazeh
2011ISCASVLSI architecture for a reconfigurable Spectrally Efficient FDM baseband transmitter.Paul N. Whatmough, Marcus R. Perrett, Safa Isam, Izzat Darwazeh
2010ISCASA robust FIR filter with in situ error detection.Paul N. Whatmough, Izzat Darwazeh, David M. Bull, Shidhartha Das, Danny Kershaw