Performance analysis on scientific computing and cloud computing environments

E. Coutinho, G. Paillard, J. Souza
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引用次数: 3

Abstract

The search for better execution times was one of the motivations for the emergence of High Performance Computing (HPC) whose importance has obtained significative preponderance in the domain of scientific computing, either in applications for an academic or industrial environment. Cloud Computing proposes the integration of various technological models for the provision of a hardware infrastructure, development platforms and applications as services based on-demand. However, with the emergence of cloud computing, a new challenge arose which was to allow the execution of HPC applications in this new environment. This paper aims to demonstrate the feasibility of using a local cluster built on a private cloud for HPC experiments, and compare with applications running in a real environment for HPC.
科学计算和云计算环境下的性能分析
寻找更好的执行时间是高性能计算(HPC)出现的动机之一,其重要性在科学计算领域(无论是在学术应用程序还是工业环境中)获得了显著的优势。云计算提出了各种技术模型的集成,以提供硬件基础设施、开发平台和基于按需服务的应用程序。然而,随着云计算的出现,出现了一个新的挑战,即允许在这个新环境中执行HPC应用程序。本文旨在论证在私有云上构建本地集群进行高性能计算实验的可行性,并与在真实环境中运行的应用程序进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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