基于肌肉的多尺度模拟的云和本地HPC方法的比较

Katarzyna Rycerz, M. Nowak, P. Pierzchala, Eryk Ciepiela, D. Harezlak, M. Bubak
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引用次数: 5

摘要

在本文中,我们提出并比较了在两种类型的基础设施中建立和执行多规模应用程序的支持:本地HPC集群和Amazon AWS云解决方案。我们专注于基于MUSCLE框架的应用程序,其中分布式单规模模块并发运行形成一个多规模应用程序。我们还将提出的解决方案与网格空间虚拟实验室相结合,使用户能够通过其基于网站的界面在底层计算和存储资源上开发和执行虚拟实验。最后,我们提出了一个支持应用分发的用户友好的可视化工具的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Cloud and Local HPC Approach for MUSCLE-based Multiscale Simulations
In this paper we present and compare a support for setting up and execution of multiscale applications in the two types of infrastructures: local HPC cluster and Amazon AWS cloud solutions. We focus on applications based on the MUSCLE framework, where distributed single scale modules running concurrently form one multiscale application. We also integrate presented solution with Grid Space virtual laboratory that enables users to develop and execute virtual experiments on the underlying computational and storage resources through its website based interface. Last but not least, we present a design of a user friendly visual tool supporting application distribution.
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