Development of Energy Models for Design Space Exploration of Embedded Many-Core Systems

TL;DR

This paper presents an automated framework for developing energy models to facilitate design space exploration in embedded many-core systems, enabling accurate energy estimation without detailed system info.

Contribution

It introduces a novel automated framework that estimates energy consumption at various abstraction levels without additional system details.

Findings

Average estimation error of about 4% on CoreVA-MPSoC

Validated framework with a configurable many-core system

Improves design space exploration efficiency

Abstract

This paper introduces a methodology to develop energy models for the design space exploration of embedded many-core systems. The design process of such systems can benefit from sophisticated models. Software and hardware can be specifically optimized based on comprehensive knowledge about application scenario and hardware behavior. The contribution of our work is an automated framework to estimate the energy consumption at an arbitrary abstraction level without the need to provide further information about the system. We validated our framework with the configurable many-core system CoreVA-MPSoC. Compared to a simulation of the CoreVA-MPSoC on gate level in a 28nm FD-SOI standard cell technology, our framework shows an average estimation error of about 4%.