Parallel Computing on Various Platforms - A Case Study.
Interim rept. Feb-Oct 94
SOUTHEASTERN CENTER FOR ELECTRICAL ENGINEERING EDUCATION INC ST CLOUD FL
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Parallel computing offers an attractive means for high-performance computing to alleviate the current bottleneck in speedup potential of large application codes for practical problem solving. The challenge of actual implementation, however, can be significant The objective of this report is to address the issue of porting and parallelizing a Computational Fluid Dynamics CFD application code on several supercomputing platforms such as Cray C-90, Cray Y-MP, KSRl, CM-S and Intel PARAGON. This overall objective is achieved through first emulating the application code by conducting a model test code, in an effort to understand the influence of data structure on the code performance. The conclusions derived from this are then utilized to restructure the 2-D3-D CFD code such that the final version is transportable to a wider class of platforms.
- Computer Programming and Software
- Fluid Mechanics