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3D Optimisation of Software Application Mappings on Heterogeneous MPSoCs
Increasing the efficiency of parallel software development is one of the key obstacles in taking advantage of heterogeneous multi-core architectures. Efficient and reliable compiler technology is required to identify the trade-off between multiple design goals at once. The most crucial objectives ar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343415/ http://dx.doi.org/10.1007/978-3-030-52794-5_5 |
Sumario: | Increasing the efficiency of parallel software development is one of the key obstacles in taking advantage of heterogeneous multi-core architectures. Efficient and reliable compiler technology is required to identify the trade-off between multiple design goals at once. The most crucial objectives are application performance and processor power consumption. Including memory power into this multi-objective optimisation problem is of utmost importance. Therefore, this paper proposes the heuristic MORAM solving this three-dimensional Pareto front calculation. Furthermore, it is integrated into a commercially available framework to conduct a detailed evaluation and applicability study. MORAM is assessed with representative benchmarks on two different platforms and contrasted with a state-of-the-art evolutionary multi-objective algorithm. On average, MORAM produces 6% better Pareto fronts, while it is at least [Formula: see text] faster. |
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