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Dr. Devashree Tripathy is an Assistant Professor in Computer Science and Engineering at Indian Institute of Technology, Bhubaneswar. Her research spans in Computer Architecture , High Performance Computing, Fault-Tolerance systems, performance and power-efficient designs for accelerators, and machine learning. Her current research focuses on ML for Systems and Systems for ML. Prior to joining IIT Bhubaneswar, Dr. Tripathy was a Postdoctoral Fellow in Computer Science at Harvard University, working with Dr. David Brooks in Harvard Architecture, Circuits, and Compilers Group. She is currently working as an Associate with Harvard University. She graduated from University of California, Riverside with PhD in Computer Science and was advised by Distinguished Prof. Laxmi N. Bhuyan and Prof.Daniel Wong.
Homepage: https://devashreetrip.github.io/
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论文共 20 篇作者统计合作学者相似作者
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PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023 (2023): 186-201
Behzad Boroujerdian,Ying Jing,Devashree Tripathy,Amit Kumar,Lavanya Subramanian,Luke Yen,Vincent Lee, Vivek Venkatesan, Amit Jindal, Robert Shearer,Vijay Janapa Reddi
Proceedings of the ACM International Conference on Supercomputing (2019)
SpringerBriefs in Applied Sciences and Technology (2019)
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