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- W1878600566 abstract "Shared—memory vector multiprocessors (VMP) and parallel extensions to FORTRAN offer the most common hardware/software solution to the problem of reducing the elapsed time in large scale computations on numerical grids. Topical kernels in such computations are nested DO—loops in which the outer iterations can be distributed to multiple processors while inner iterations can be dealt with by pipelined vector hardware. An additional level of parallelism can be introduced by grouping VMPs in clusters and by extending FORTRAN to allow a single application to exploit multiple (distributed memory) computers." @default.
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- W1878600566 date "1992-01-01" @default.
- W1878600566 modified "2023-09-26" @default.
- W1878600566 title "Parallel/Distributed Computing on Clusters of High Performance Risc Workstations" @default.
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- W1878600566 doi "https://doi.org/10.1007/978-3-642-77661-8_9" @default.
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