Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Yevgeny Nustov"'
Autor:
Gary W. Maier, Wei Wang, Siyu Koswatta, Vijayalakshmi Srinivasan, Howard M. Haynie, George D. Gristede, Bruce M. Fleischer, Michael R. Scheuermann, Matthew M. Ziegler, Sunil Shukla, Jinwook Oh, Vicktoria Ivanov, Kailash Gopalakrishnan, Martin Lutz, Ching Zhou, Xiao Sun, Silvia Melitta Mueller, Brian W. Curran, Pong-Fei Lu, Thomas W. Fox, Swagath Venkataramani, Nianzheng Cao, Ankur Agrawal, Robert Casatuta, Naigang Wang, Jungwook Choi, Vinay Velji Shah, Alex Mesh, Marcel Schaal, Scot H. Rider, Fanchieh Yee, Joel Abraham Silberman, James J. Bonanno, Michael A. Guillorn, Mingu Kang, Sae Kyu Lee, Shimon Ben-Yehuda, Erez Ophir, Chia-Yu Chen, Matthew Cohen, Yevgeny Nustov, Leland Chang, Shih-Hsien Lo
Publikováno v:
VLSI Circuits
A processor core is presented for AI training and inference products. Leading-edge compute efficiency is achieved for robust fp16 training via efficient heterogeneous 2-D systolic array-SIMD compute engines leveraging compact DLFloat16 FPUs. Architec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce688e26b703dfb25f1b3e3e01c4d0c8
https://doi.org/10.1109/vlsicircuits18222.2020.9162917
https://doi.org/10.1109/vlsicircuits18222.2020.9162917
