In this paper we are concerned with parallel implementation of row-oriented gram-schmidt orthogonalization. For the data partitioning four types of columnwise partitioning schemes were considered: column. (1-col), blo...
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(纸本)0818682596
In this paper we are concerned with parallel implementation of row-oriented gram-schmidt orthogonalization. For the data partitioning four types of columnwise partitioning schemes were considered: column. (1-col), block, cyclic and block-cyclic (b-c) partitioning. Analytical models for parallel execution time required by these implementations are derived and compared with numerical results. The best partitioning scheme is shown theoretically and by numerical results.
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