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个人简介
A computer architect by training, Brandon has a research focus on designing specialized hardware accelerators for applications including deep learning and privacy preserving computation. He has made several contributions to ease the use accelerators as general architectural constructs including benchmarking, simulation infrastructure, and System on a Chip (SoC) design. He has led the way in highly efficient and accurate deep learning accelerator design with his studies of principled unsafe optimizations, and his work has been published in conferences ranging from computer architecture, machine learning, computer aided design, and circuits.
研究兴趣
论文共 67 篇作者统计合作学者相似作者
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CoRR (2023): 272-282
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PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2023, CF 2023 (2023): 322-328
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Lauren Biernacki, Biniyam Mengist Tiruye,Meron Zerihun Demissie,Fitsum Assamnew Andargie,Brandon Reagen,Todd M. Austin
ISPASSpp.189-200, (2023)
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