Preserving Power Optimizations Across the High Level Synthesis of Distinct Application-Specific Circuits
CoRR(2024)
摘要
We evaluate the use of software interpretation to push High Level Synthesis
of application-specific accelerators toward a higher level of abstraction. Our
methodology is supported by a formal power consumption model that computes the
power consumption of accelerator components, accurately predicting the power
consumption on new designs from prior optimization estimations. We demonstrate
how our approach simplifies the re-use of power optimizations across distinct
designs, by leveraging the higher level of design abstraction, using two
accelerators representative of the robotics domain, implemented through the
Bambu High Level Synthesis tool. Results support the research hypothesis,
achieving predictions accurate within +/- 1
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