Search Results for author: Tommaso Marinelli

Found 2 papers, 0 papers with code

Full-stack evaluation of Machine Learning inference workloads for RISC-V systems

no code implementations24 May 2024 Debjyoti Bhattacharjee, Anmol, Tommaso Marinelli, Karan Pathak, Peter Kourzanov

Architectural simulators hold a vital role in RISC-V research, providing a crucial platform for workload evaluation without the need for costly physical prototypes.

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