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I design better hardware-software abstractions through research in programming languages and computer architecture. Much of my work is on approximate computing: the idea that computers can be more efficient if they are allowed to be imperfect. To help programmers trade off accuracy for efficiency, we need new languages, tools, processors, accelerators, memories, and compilers.
I am an assistant professor in the Department of Computer Science at Cornell University, where I am also part of the Computer Systems Laboratory. I graduated from the University of Washington in 2015.
I am an assistant professor in the Department of Computer Science at Cornell University, where I am also part of the Computer Systems Laboratory. I graduated from the University of Washington in 2015.
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Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1 (2024)
CoRR (2024)
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Matthew D. Sinclair,Parthasarathy Ranganathan,Gaurang Upasani,Adrian Sampson,David Patterson,Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
IEEE MICROno. 6 (2023): 109-124
ASPLOS (2)pp.778-790, (2023)
Gaurang Upasani,Matthew D. Sinclair,Adrian Sampson,Parthasarathy Ranganathan,David Patterson, Shaan Shah, Nidhi Parthasarathy,Rutwik Jain
CoRR (2023)
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CoRRno. PLDI (2023): 343-367
CoRR (2023)
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