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        <title>SaC-Home - cases:nasmg</title>
        <description></description>
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       <dc:date>2026-04-16T22:04:57+00:00</dc:date>
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        <dc:date>2016-10-30T17:47:50+00:00</dc:date>
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        <title>Evaluation</title>
        <link>https://sac-home.org/cases:nasmg:evaluation?rev=1477849670&amp;do=diff</link>
        <description>Evaluation

This section compares the runtime performance achieved by code compiled from the SAC specification of MG, as outlined in the previous section, with that of the FORTRAN-77 reference implementation coming with the NAS benchmark suite  NAS Source. The settings of the following experiments are exactly the same as described in</description>
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        <dc:date>2016-10-30T17:46:56+00:00</dc:date>
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        <title>Implementation</title>
        <link>https://sac-home.org/cases:nasmg:implementation?rev=1477849616&amp;do=diff</link>
        <description>Implementation

The NAS benchmark MG implements a V-cycle multigrid algorithm to approximate a solution u of the discrete Poisson equation $\nabla^2 u = v$ on a 3-dimensional grid with periodic boundary conditions. Rather than iteratively applying relaxation steps to a grid of fixed size as in the PDE1 benchmark, they are consecutively applied to grids of varying granularity, i.e., they are embedded within operations to coarsen and refine grids. The rationale for this approach is to accelerate t…</description>
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