PEPA: Performance Enhancement of Embedded Processors through HW Accelerator Resource Sharing
Qilin Si, Benjamin Carrión Schäfer · 2023
To improve the performance while reducing the power consumption, embedded processors in Systems-on-Chip (SoC) often now include tightly coupled hardware accelerators that can execute dedicated tasks orders of magnitude more efficiently (faster and lower power). These hardware accelerators though require significant hardware resources as one of the main reason for their efficiency is that they extensively exploit the parallelism of these dedicated tasks mapped on them. The question that we address in this work is if these hardware resources can be re-used by the CPU when executing a different application.