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pro vyhledávání: '"Duke, Jared"'
Autor:
Reddi, Vijay Janapa, Kanter, David, Mattson, Peter, Duke, Jared, Nguyen, Thai, Chukka, Ramesh, Shiring, Ken, Tan, Koan-Sin, Charlebois, Mark, Chou, William, El-Khamy, Mostafa, Hong, Jungwook, John, Tom St., Trinh, Cindy, Buch, Michael, Mazumder, Mark, Markovic, Relia, Atta, Thomas, Cakir, Fatih, Charkhabi, Masoud, Chen, Xiaodong, Chiang, Cheng-Ming, Dexter, Dave, Heo, Terry, Schmuelling, Gunther, Shabani, Maryam, Zika, Dylan
This paper presents the first industry-standard open-source machine learning (ML) benchmark to allow perfor mance and accuracy evaluation of mobile devices with different AI chips and software stacks. The benchmark draws from the expertise of leading
Externí odkaz:
http://arxiv.org/abs/2012.02328
Autor:
David, Robert, Duke, Jared, Jain, Advait, Reddi, Vijay Janapa, Jeffries, Nat, Li, Jian, Kreeger, Nick, Nappier, Ian, Natraj, Meghna, Regev, Shlomi, Rhodes, Rocky, Wang, Tiezhen, Warden, Pete
Deep learning inference on embedded devices is a burgeoning field with myriad applications because tiny embedded devices are omnipresent. But we must overcome major challenges before we can benefit from this opportunity. Embedded processors are sever
Externí odkaz:
http://arxiv.org/abs/2010.08678
Autor:
Reddi, Vijay Janapa, Cheng, Christine, Kanter, David, Mattson, Peter, Schmuelling, Guenther, Wu, Carole-Jean, Anderson, Brian, Breughe, Maximilien, Charlebois, Mark, Chou, William, Chukka, Ramesh, Coleman, Cody, Davis, Sam, Deng, Pan, Diamos, Greg, Duke, Jared, Fick, Dave, Gardner, J. Scott, Hubara, Itay, Idgunji, Sachin, Jablin, Thomas B., Jiao, Jeff, John, Tom St., Kanwar, Pankaj, Lee, David, Liao, Jeffery, Lokhmotov, Anton, Massa, Francisco, Meng, Peng, Micikevicius, Paulius, Osborne, Colin, Pekhimenko, Gennady, Rajan, Arun Tejusve Raghunath, Sequeira, Dilip, Sirasao, Ashish, Sun, Fei, Tang, Hanlin, Thomson, Michael, Wei, Frank, Wu, Ephrem, Xu, Lingjie, Yamada, Koichi, Yu, Bing, Yuan, George, Zhong, Aaron, Zhang, Peizhao, Zhou, Yuchen
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:
http://arxiv.org/abs/1911.02549
Akademický článek
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