Computational Strategies for Chemical Process Engineering Using Parallel/Vector Supercomputers


Mark A. Stadtherr and Jayarama U. Mallya


In this article we consider strategies for exploiting supercomputer technology in solving the sparse matrix problems arising in process simulation and optimization. A new multifrontal solver for use in simulating equilibrium-stage processes and a new parallel frontal solver for large-grained parallel solution of process simulation and optimization problems are described. Results for several problems, including large-scale industrial problems, are given.

in Computational Chemistry and Chemical Engineering, eds., G. Cisneros, J. A. Cogordon, M. Castro, and C. Wang, World Scientific, pp. 377-393 (1997).

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