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- W4240930232 abstract "The PARDISO package is a mathematical library of OpenMP routines for the parallel direct solution of large sparse linear systems of equations. One objective of PARDISO is to achieve a high efficiency on shared memory multiprocessing systems. A new parallelization strategy based on a dynamic two-level scheduling scheme is therefore explored. The method aims at minimizing cache conflicts and interprocessor communication costs and, at the same time, maximizing processor load balance and Level-3 BLAS performance. The synchronization events are reduced by one order of magnitude compared with a one-level scheduling strategy. This results in an efficient parallel sparse LU decomposition method. An overview of the two-level scheduling algorithm and the key algorithmic features of the solver PARDISO is given. Finally, numerical results and a comparison with another software package demonstrate the performance." @default.
- W4240930232 created "2022-05-12" @default.
- W4240930232 date "1982-01-01" @default.
- W4240930232 modified "2023-09-30" @default.
- W4240930232 title "A multimicroprocessor architecture for industrial/process control applications" @default.
- W4240930232 doi "https://doi.org/10.1016/0141-9331(82)90297-6" @default.
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