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arXiv · 2302.11236

Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems

Josefa Díaz Álvarez·José L. Risco-Martín·J. Manuel Colmenar
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Abstract

Current embedded systems are specifically designed to run multimedia applications. These applications have a big impact on both performance and energy consumption. Both metrics can be optimized selecting the best cache configuration for a target set of applications. Multi-objective optimization may help to minimize both conflicting metrics in an independent manner. In this work, we propose an optimization method that based on Multi-Objective Evolutionary Algorithms, is able to find the best cache configuration for a given set of applications. To evaluate the goodness of candidate solutions, the execution of the optimization algorithm is combined with a static profiling methodology using several well-known simulation tools. Results show that our optimization framework is able to obtain an optimized cache for Mediabench applications. Compared to a baseline cache memory, our design method reaches an average improvement of 64.43\% and 91.69\% in execution time and energy consumption, respectively.

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Josefa Díaz Álvarez, José L. Risco-Martín, J. Manuel Colmenar. 2023-02-22. Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems. https://doi.org/10.1016/j.jss.2015.10.012

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