期刊
ADVANCES IN ENGINEERING SOFTWARE
卷 60-61, 期 -, 页码 122-135出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2012.10.003
关键词
Cloud computing; Finite element analysis; Structural mechanics; Task scheduling; Multi-core; SPOOLES
类别
资金
- European Union FP7 Marie Curie program under BI4MASSES project
- IBM Shared University Research (SUR) program
- TUBITAK (Turkish National Science Foundation) [109E194]
- IBM PhD Fellowship award
This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance characterization of linear and nonlinear mechanical structural analysis workloads over multi-core and multi-node computing resources. We first analyze and observe that accurate job characterization, tuning of multi-threading parameters and effective multi-core/node scheduling are critical for service performance. We design a smart scheduler that can dynamically select some of the required parameters, partition the load and schedule it in a resource-aware manner. We can achieve up to 7.53 x performance improvement over an aggressive scheduler using mixed FEA loads. We also discuss critical issues related to the data privacy, security, accounting, and portability of the cloud service. (C) 2012 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据