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Aman Arora (Graduate Student Member, IEEE) received the B.Tech. degree from the National Institute of Technology Kurukshetra, Kurukshetra, India, 2007. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
He has over ten years of experience in the semiconductor industry in design, verification, testing, and architecture roles. Most recently, he worked in the GPU architecture group with NVIDIA. His research interests are in the areas of reconfigurable computing, domain-specific acceleration, and machine learning.
Mr. Arora’s work received the Best Paper Award at the IEEE FCCM conference in 2022, and he currently holds a fellowship from the UT Austin Graduate School.
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论文共 25 篇作者统计合作学者相似作者
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Stefan Abi-Karam,Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei,Hanqiu Chen, Nanditha Rao, Lizy John,Aman Arora, Cong Hao
arxiv(2024)
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CoRR (2023)
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ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3pp.359-375, (2023)
Aman Arora,Andrew Boutros,Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty,Tanmay Anand,Mohamed A. Elgammal,Kenneth B. Kent,Vaughn Betz,Lizy K. John
ACM Transactions on Reconfigurable Technology and Systemsno. 3 (2023): 1-34
arxiv(2022)
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