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pro vyhledávání: '"J. Scott Gardner"'
Autor:
Parviz Palangpour, Benjamin Seroussi, J. Scott Gardner, Kimble Houck, Scott Petersen, Bryce Arden, Jonathan Johnson, Tyler Walker, Michael Thomson, G. Glenn Henry, Jim Donahue, Kyle T. O'Brien
Publikováno v:
ISCA
Demand for high performance deep learning (DL) inference in software applications is growing rapidly. DL workloads run on myriad platforms, including general purpose processors (CPU), system-on-chip (SoC) with accelerators, graphics processing units
Autor:
Mark Charlebois, Dave Fick, Sachin Satish Idgunji, Yuchen Zhou, Michael Thomson, Ashish Sirasao, George Yuan, Anton Lokhmotov, Koichi Yamada, Tom St. John, Bing Yu, Jeff Jiao, Arun Tejusve Raghunath Rajan, Paulius Micikevicius, Ephrem C. Wu, Francisco Massa, Carole-Jean Wu, Hanlin Tang, David Lee, William Chou, Frank Wei, Jared Duke, Cody Coleman, Sam Davis, Jeffery Liao, Itay Hubara, Dilip Sequeira, Lingjie Xu, Pan Deng, Vijay Janapa Reddi, Guenther Schmuelling, Gennady Pekhimenko, Maximilien Breughe, Peng Meng, Greg Diamos, David Kanter, Colin Osborne, Thomas B. Jablin, Peizhao Zhang, Fei Sun, Pankaj Kanwar, Ramesh Chukka, J. Scott Gardner, Aaron Zhong, Christine Cheng, Peter Mattson, Brian M. Anderson
Publikováno v:
ISCA
Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2417894de20d08d29ba667a4080f9a
Autor:
J. Scott Gardner
Publikováno v:
The Journal of urology. 75(3)