Evaluation of Clusters based on Systems on a Chip for High-Performance Computing: A Review

Abstract

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.

Development of a Low-Cost Portable Cluster for Numerical Weather Prediction

“…However, the performance of these systems has continued to improve following Moore's law, and due to the development of parallel computing; energy efficiency is no longer a major concern in HPC [6]. Aldana et al (2019) stated that computing clusters could be used to sufficiently complete various computations if the nodes are inexpensive and energy-efficient [7].…”