Torus data flow for parallel computation of missized matrix problems (Q1072339)

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scientific article; zbMATH DE number 3942906
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Torus data flow for parallel computation of missized matrix problems
scientific article; zbMATH DE number 3942906

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    Torus data flow for parallel computation of missized matrix problems (English)
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    1986
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    A data-flow approach is used to solve dense symmetric systems of equations on a torus-connected 2-D mesh of processors. A torus mapping of the matrix onto this processor array allows the Cholesky decomposition to be completed in 3n-2 time steps using only \(n^ 2/4\) processors (less than half the number needed in previously reported results). New definitions for missized problems and parallel algorithm performance are given along with various time-step, efficiency, and processor utilization plots.
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    torus data flow
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    parallel computation
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    dense symmetric systems
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    Cholesky decomposition
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    missized problems
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