This paper presents a methodology and a toolchain to per- form estimation and optimization of the energy consumption associated to software execution on tiny embedded systems. The estimation phase is based on an ISA-level characteri- zation of the target processor, while the optimization phase is made combining the estimation process with design space exploration in order to exploit ne-grained dynamic voltage and frequency scaling. The proposed approach operates at compile-time, with the granularity of single C functions and almost automatically augments the source code.

Software Energy Optimization Through Fine-Grained Function-Level Voltage and Frequency Scaling

BRANDOLESE, CARLO;FORNACIARI, WILLIAM
2012-01-01

Abstract

This paper presents a methodology and a toolchain to per- form estimation and optimization of the energy consumption associated to software execution on tiny embedded systems. The estimation phase is based on an ISA-level characteri- zation of the target processor, while the optimization phase is made combining the estimation process with design space exploration in order to exploit ne-grained dynamic voltage and frequency scaling. The proposed approach operates at compile-time, with the granularity of single C functions and almost automatically augments the source code.
2012
CODES+ISSS '12 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
9781450314237
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/692808
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