Job submission and monitoring management in integrated computing environment for finite element analysis
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 comput...
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Veröffentlicht in: | The Journal of supercomputing 2018-12, Vol.74 (12), p.6960-6975 |
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container_title | The Journal of supercomputing |
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creator | Jung, Daeyong Kim, Myungil Lee, Jungha Kim, Han-Yee Lee, Daewon |
description | 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. |
doi_str_mv | 10.1007/s11227-018-2590-4 |
format | Article |
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subjects | Compilers Computer Science Computer simulation Computing costs Environmental monitoring Finite element analysis Finite element method Interpreters Mathematical analysis Open source software Processor Architectures Programming Languages Workflow |
title | Job submission and monitoring management in integrated computing environment for finite element analysis |
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