Computers and Chemical Engineering, cilt.13, sa.9, ss.1065-1073, 1989 (Scopus)
Coupled transport/chemistry problems are performed on the Massively Parallel Processor (MPP) computer. The MPP is a single-instruction multiple data (SIMD) machine with 16,384, individual processors arranged in a 2-D array with nearest neighbor connections between processors. The suitability of this architecture for coupled/transport chemistry applications is investigated. Substantial speedups can be achieved on the MPP when concurrency in the calculation can be exploited. For example, speedup factors on the MPP of 450 and 10 relative to VAX 11/780 and Cray-2, respectively, are achieved for 3-D chemistry calculation. Various aspects of parallel computing on the MPP are discussed. Transport/chemistry calculations have been performed on the NASA/Goddard MPP computer. The MPP is a SIMD machine with 16,384 individual processors arranged in a 2-D array with nearest neighbor connections between processors. This architecture is well-suited for performing chemical calculations arising from 3-D transport/chemistry problems. When operator splitting techniques are used, then each grid point in a 3-D domain can be mapped to a processor, and the chemistry at each grid point calculated in parallel. Speedup factors of over 450 and 10 were achieved on the MPP relative to the VAX 11/780 and Cray-2, respectively for the chemistry calculations. The MPP is also well-suited for 2-D transport calculations. However, due to the 2-D physical arrangement of the processor, 3-D transport problems are more difficult on the MPP. These test calculations suggest that the MPP and similar machines are well-suited for coupled transport/chemistry applications and that more robust interconnect topologies (e.g. hypercube) are needed. However, further work is necessary to gain the knowledge and experience necessary to fully exploit these machines and to evaluate their utility. © 1989.