Articoli con mandati relativi all'accesso pubblico - Matthew MattinaUlteriori informazioni
Disponibili pubblicamente: 4
A systematic methodology for characterizing scalability of dnn accelerators using scale-sim
A Samajdar, JM Joseph, Y Zhu, P Whatmough, M Mattina, T Krishna
2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020
Mandati: US National Science Foundation
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
Mandati: US National Science Foundation, US Department of Defense
Design principles for lifelong learning AI accelerators
D Kudithipudi, A Daram, AM Zyarah, FT Zohora, JB Aimone, ...
Nature Electronics 6 (11), 807-822, 2023
Mandati: US Department of Energy, US Department of Defense
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs
R Mullins, P Maji, A Mundy, G Dasika, J Beu, M Mattina
Mandati: UK Engineering and Physical Sciences Research Council
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