Dynamic current modeling at the instruction level

Estimation of processor current consumption is important for the design of low power systems. This paper proposes a novel method for estimating the dynamic current consumption of a processor. The method models dynamic current as the output of a linear system excited by a signal comprised of the tota...

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Hauptverfasser:	Rizo-Morente, Jose, Casas-Sanchez, Miguel, Bleakley, C. J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer aided instruction Computer architecture Computer science Computer systems organization > Architectures > Serial architectures > Pipeline computing Computer systems organization > Embedded and cyber-physical systems Computer systems organization > Real-time systems Computing methodologies > Modeling and simulation > Model development and analysis Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies current and power measurement in a processor Current measurement Design Digital signal processing Dynamic Instruction-level current model Energy consumption Experimentation General and reference > Cross-computing tools and techniques > Measurement General and reference > Cross-computing tools and techniques > Metrics Hardware > Communication hardware, interfaces and storage > Signal processing systems Informatics Measurements Power system dynamics Power system modeling User centered design Verification
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Beschreibung
Zusammenfassung:	Estimation of processor current consumption is important for the design of low power systems. This paper proposes a novel method for estimating the dynamic current consumption of a processor. The method models dynamic current as the output of a linear system excited by a signal comprised of the total current due to each instruction. System identification is performed by cross-correlation of a pseudo-random stimulus with the measured current. The method was applied to the Texas Instruments TMS320VC5510 DSP and was found to provide an average correlation of 93% between estimated and measured dynamic current across a range of benchmarks.
DOI:	10.1145/1165573.1165596