A General Approach to High-Level Energy and Performance Estimation in System-on-Chip Architectures

摘要

We present a high-level methodology for efficient and accurate estimation of energy and performance in SoCs. Differently from the most common approaches, which rely on Transaction-Level Modeling (TLM), we infer energy and performance figures directly from the Functional Untimed Level, by running the algorithmic specification natively on a common host machine. We then validate the proposed method against gate level for accuracy and against TLM-PV for speed. We show that the method is within 17% of gate-level accuracy and in average 28x faster than TLM-PV, for the benchmark applications selected.