A Parallel Frontal Solver for Large Scale Process Simulation and Optimization


J. U. Mallya, S. E. Zitney, S. Choudhary, and M. A. Stadtherr


For the simulation and optimization of large-scale chemical processes, the overall computing time is often dominated by the time needed to solve a large sparse system of linear equations. We present here a new parallel frontal solver which can significantly reduce the wallclock time required to solve these linear equation systems using parallel/vector supercomputers. The algorithm exploits both multiprocessing and vector processing by using a multilevel approach in which frontal elimination is used for the partial factorization of each front. Results on several large scale process simulation and optimization problems are presented.

AIChE J., 43, 1032-1040 (1997)

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