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- W2151784927 abstract "An eficient and flexible implementation of a parallel hierarchical Finite Element algorithm has been under investigation for a multiple instruction multiple data (MIMD) machine (NCUBE). After an initial modularization and benchmarking, three specific parameters that influence the eficiency of the concurrent Finite Element (FE) algorithm were identified. They are: i) sparsity, ii) storage format, and iii) mapping scheme. These factors are interdependent and heavily influence the overall eficiency of the implemented code. Three direct methods of solving systems of linear equations have been analyzed, a Block method exhibiting a coarse grain concurrency and two factorization methods with inherit medium grain parallelism. Additionally, work on the Assembler and the Domain Decomposer is reported. This study includes a performance evaluation of the FE modules using the techniques outlined above. The results demonstrate the importance of those issues, and the advantages of exploiting different levels of concurrency in a parallel FEA code." @default.
- W2151784927 created "2016-06-24" @default.
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- W2151784927 date "2005-08-24" @default.
- W2151784927 modified "2023-09-27" @default.
- W2151784927 title "The Impact Of Sparsity And Mapping On A Concurrent Finite Element Code" @default.
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- W2151784927 doi "https://doi.org/10.1109/dmcc.1990.556388" @default.
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