Resumen

ALDANA, Melissa Johanna; BUITRAGO, Jaime Alberto  y  GUTIERREZ, Julián Esteban. Evaluation of Clusters based on Systems on a Chip for High-Performance Computing: A Review. Rev. ing. univ. Medellín [online]. 2020, vol.19, n.37, pp.75-92.  Epub 03-Sep-2021. ISSN 1692-3324.  https://doi.org/10.22395/rium.v19n37a4.

High-performance computing systems are the maximum expression in the field of processing for large amounts of data. However, their energy consumption is an aspect of great importance, which was not considered decades ago. Hence, software developers and hardware providers are obligated to approach new challenges to address energy consumption, and costs. Constructing a computational cluster with a large amount of systems on a chip can result in a powerful, ecologic platform, with the capacity to offer sufficient performance for different applications, as long as low costs and minimum energy consumption can be maintained. As a result, energy efficient hardware has an opportunity to impact upon the area of high-performance computing. This article presents a systematic review of the evaluations conducted on clusters of Systems on a Chip for High-Performance computing in the research setting.

Palabras clave : Systems on a chip; high-performance computing; clusters; benchmarks.

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