Fine-grain dynamic energy tracking for system-on-chip

Abstract : In this paper, we model system-on-chip (SoC) con- sumption as a dynamic process that can be easily tracked over time through a set of power modes. The proposed method provides precise information on each block dissipation inside the system. Each generated mode defines a specific model that links power to block activity reported by a set of critical signals. The modeling approach is illustrated by real experiments. When ap- plied to memory blocks, the model showed 10% maximum error, considering power at very fine granularity (quasi-instantaneous power). For long simulations, average and maximum energy are estimated with an error of 5.3% and 4.8%, respectively. For a memory controller and a MAC unit, only one probe is used leading to a very limited area overhead.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00818918
Contributor : Pascal Benoit <>
Submitted on : Monday, April 29, 2013 - 3:44:59 PM
Last modification on : Monday, February 25, 2019 - 4:34:18 PM

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  • HAL Id : lirmm-00818918, version 1

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Imen Mansouri, Pascal Benoit, Lionel Torres, Fabien Clermidy. Fine-grain dynamic energy tracking for system-on-chip. IEEE Transactions on Circuits and Systems Part 2 Analog and Digital Signal Processing, Institute of Electrical and Electronics Engineers (IEEE), 2013, 60 (6), pp.4. ⟨lirmm-00818918⟩

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