基本信息
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职业迁徙
个人简介
I am the co-founder and co-lead of the Machine Learning for Computer Architecture team. We leverage the recent machine learning methods and advancements to innovate and design better hardware accelerators. The work of our team has been covered by media outlets including ZDNet and InfoQ. I am also interested in designing large-scale distributed systems for training machine learning applications. To that end, I led the development of a massively large-scale distributed reinforcement learning system that scales to TPU Pod and efficiently manages thousands of actors to solve complex, real-world tasks.
研究兴趣
论文共 81 篇作者统计合作学者相似作者
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Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee,Hardik Sharma,Amir Yazdanbakhsh,Jongse Park
arxiv(2024)
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Soroush Ghodrati,Sean Kinzer, Hanyang Xu,Rohan Mahapatra, Yoonsung Kim,Byung Hoon Ahn,Dong Kai Wang, Lavanya Karthikeyan,Amir Yazdanbakhsh,Jongse Park,Nam Sung Kim,Hadi Esmaeilzadeh
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (2024)
PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023 (2023): 186-201
DACpp.1-2, (2023)
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Joo Hyung Lee,Wonpyo Park, Nicole Mitchell,Jonathan Pilault,Johan Obando-Ceron, Han-Byul Kim,Namhoon Lee,Elias Frantar, Yun Long,Amir Yazdanbakhsh,Shivani Agrawal,Suvinay Subramanian,
CoRR (2023)
Shaojin Ding,David Qiu, David Rim,Yanzhang He,Oleg Rybakov,Bo Li,Rohit Prabhavalkar,Weiran Wang,Tara N. Sainath, Zhonglin Han,Jian Li,Amir Yazdanbakhsh,
CoRR (2023): 10756-10760
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