Open AccessEvaluation of Clusters based on Systems on a Chip for High-Performance Computing: A Review
Author(s) -
Melissa Johanna Aldana,
Jaime Alberto Buitrago,
Julián Esteban Gutiérrez
Publication year - 2020
Publication title -
revista ingenierías universidad de medellín/revista ingenierías universidad de medellín
Language(s) - English
Resource type - Journals
eISSN - 2248-4094
pISSN - 1692-3324
DOI - 10.22395/rium.v19n37a4
Subject(s) - computer science , energy consumption , software , supercomputer , chip , embedded system , consumption (sociology) , cluster (spacecraft) , field (mathematics) , computer cluster , energy (signal processing) , distributed computing , computer architecture , operating system , telecommunications , engineering , social science , mathematics , sociology , pure mathematics , electrical engineering , statistics
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 ystems on a Chip for High-Performance computing in the research setting.