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pro vyhledávání: '"Mahesh Lakshminarasimhan"'
Autor:
Mahesh Lakshminarasimhan, Xiaolong Wu, Catherine Olschanowsky, Kevin J. Barker, Jiajia Li, Ang Li
Publikováno v:
IISWC
Tensor computations present significant performance challenges that impact a wide spectrum of applications ranging from machine learning, healthcare analytics, social network analysis, data mining to quantum chemistry and signal processing. Efforts t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9908e896546c5df62072506a6ae5cbf
https://doi.org/10.1109/iiswc50251.2020.00027
https://doi.org/10.1109/iiswc50251.2020.00027
Autor:
Kevin J. Barker, Ang Li, Jiajia Li, Catherine Olschanowsky, Mahesh Lakshminarasimhan, Xiaolong Wu
Publikováno v:
PPoPP
Tensor computations present significant performance challenges that impact a wide spectrum of applications ranging from machine learning, healthcare analytics, social network analysis, data mining to quantum chemistry and signal processing. Efforts t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0989c25c948a1a33acd7173e510f60e7
http://arxiv.org/abs/2001.00660
http://arxiv.org/abs/2001.00660
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Mar2024, Vol. 21 Issue 1, p1-20, 20p
All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic
Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of