基本信息
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Bio
He is a Melosh Medal finalist, the recipient of best student paper award in SC'17, Gold Medal in the ACM Student Research Competition, best student paper finalist in SC’14, as well as Amazon Machine Learning Research Award in 2020. He was also part of the Nvidia team that for the first time made low precision neural network training possible (FP16), enabling more than 10x increase in compute power through tensor cores. That technology has been widely adopted in GPUs today. Amir's current research focuses on efficient AI at the Edge, and scalable training of Neural Network models.
Research Interests
Papers共 68 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE Microno. 99 (2024): 1-5
Tommaso Baldi, Javier Campos, Ben Hawks,Jennifer Ngadiuba,Nhan Tran,Daniel Diaz,Javier Duarte,Ryan Kastner,Andres Meza,Melissa Quinnan,Olivia Weng, Caleb Geniesse,
IEEE VLSI Test Symposiumpp.1-5, (2024)
Nicholas Lee, Thanakul Wattanawong,Sehoon Kim,Karttikeya Mangalam,Sheng Shen,Gopala Anumanchipalli,Michael W. Mahoney,Kurt Keutzer,Amir Gholami
arxiv(2024)
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arxiv(2024)
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Coleman Hooper,Sehoon Kim, Hiva Mohammadzadeh,Michael W. Mahoney,Yakun Sophia Shao,Kurt Keutzer,Amir Gholami
CoRR (2024)
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Sehoon Kim,Coleman Hooper, Thanakul Wattanawong,Minwoo Kang, Ruohan Yan,Hasan Genc,Grace Dinh,Qijing Huang,Kurt Keutzer,Michael W. Mahoney,Yakun Sophia Shao,Amir Gholami
CoRR (2023)
CoRR (2023)
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