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Job submission and monitoring management in integrated computing environment for finite element analysis

机译:集成计算环境中的作业提交和监控管理,用于有限元分析

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Modeling and simulation (M&S) is a promising solution for manufacturers to verify and resolve errors in advance. Recently, M&S using high-performance computing has attracted attention as a technology trend for its efficiency in terms of the time and the cost. However, a huge amount of computing resources is still required to perform an M&S analysis workflow within a short time. For the resolution of this issue, we organize a heterogeneous cluster environment with individual nodes of the diverse performance and OS. An open source-based task scheduler named Son of Grid Engine is used for managing the heterogeneous resources for the experiment. To verify the efficiency and validity of the organization scheme, we have developed an environment for analyzing products and monitoring work through CalculiX, an open source-based finite element analysis solver.
机译:建模和仿真(M&S)是制造商提前验证和解决错误的有希望的解决方案。近来,使用高性能计算的M&S在时间和成本方面都具有效率,已成为一种技术趋势。但是,在短时间内执行M&S分析工作流仍需要大​​量的计算资源。为了解决此问题,我们组织了一个异构群集环境,其中包含性能和操作系统各不相同的各个节点。一个基于开源的名为Grid Engine的任务计划程序用于管理实验的异构资源。为了验证组织方案的有效性和有效性,我们开发了一个环境,用于通过基于开源的有限元分析求解器CalculiX来分析产品和监视工作。

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