Research
Full-stack evaluation of Machine Learning inference workloads for RISC-V systems
Abstract
This study conducts a full-stack performance evaluation of diverse machine learning inference workloads on RISC-V architectures using the open-source gem5 architectural simulator. Leveraging an MLIR-based compilation toolchain, the research maps complex deep