Abstract
The aim of the work described in this paper is to investigate migration strategies for the execution of parallel genetic algorithms in a Multi-Processor System-on-Chip (MPSoC). Some multimedia and Internet applications for wireless communications are using genetic algorithms and can benefit of the advantages provided by parallel processing on MPSoCs. In order to run such algorithms, we use a Network-on-Chip platform, which provides the interconnection network required for the communication between processors. Two migration strategies are employed, in order to analyze the speedup and efficiency each one can provide, considering the communication costs they require.
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Ferreira, R.E., de Macedo Mourelle, L., Nedjah, N. (2010). A Parallel Genetic Algorithm on a Multi-Processor System-on-Chip. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_18
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DOI: https://doi.org/10.1007/978-3-642-13025-0_18
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