Programming Environments for Highly Parallel Scientific Computers
Very high speed computing resources are important for a number of scientific applications. In recent years highly parallel computer architectures have been developed which offer an alternative to the conventional pipelined vector approach to supercomputers. An attractive feature of the highly parallel systems is the potential for further speedup by simply adding additional processor resources. One of the main disadvantages of the parallel approach is that the conventional Fortran framework cannot be used and new programming techniques must be mastered.
KeywordsProgramming Environment Message Passing Parallel Processor Data Permutation Faulty Processor
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