Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ouyang, Kaiming"'
Autor:
Huang, Jiajun, Ouyang, Kaiming, Zhai, Yujia, Liu, Jinyang, Si, Min, Raffenetti, Ken, Zhou, Hui, Hori, Atsushi, Chen, Zizhong, Guo, Yanfei, Thakur, Rajeev
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation due to system call overhead, page faults, or data-copy latency, affecti
Externí odkaz:
http://arxiv.org/abs/2305.10612
Autor:
Zhao, Kai, Di, Sheng, Li, Sihuan, Liang, Xin, Zhai, Yujia, Chen, Jieyang, Ouyang, Kaiming, Cappello, Franck, Chen, Zizhong
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems, 2020
Convolutional neural networks (CNNs) are becoming more and more important for solving challenging and critical problems in many fields. CNN inference applications have been deployed in safety-critical systems, which may suffer from soft errors caused
Externí odkaz:
http://arxiv.org/abs/2003.12203
Akademický článek
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Autor:
Wu, Panruo, DeBardeleben, Nathan, Guan, Qiang, Blanchard, Sean, Chen, Jieyang, Tao, Dingwen, Liang, Xin, Ouyang, Kaiming, Chen, Zizhong
Publikováno v:
ACM / SIGPLAN Notices; Aug2017, Vol. 52 Issue 8, p415-427, 13p
