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We discuss the parallel performances of discontinuous Galerkin solvers designed on unstructured tetrahedral meshes for the calculation of three-dimensional heterogeneous electromagnetic and aeroacoustic wave propagation problems.
Also, we compare its parallel performances and accuracy against a parallel algorithm recently proposed for merging summaries derived by the Space Saving or Frequent algorithms.
Comparing with in-house solvers, the gain in terms of increases in computation capacities or in terms of parallel performances is notable, without considerable extra development cost.
The parallel performances of these two parallel multigrid methods are evaluated through numerical experiments that are performed on several clusters of PCs with different computational nodes and interconnection networks.
We measure the parallel performances of FaCSI on a benchmark cylindrical geometry and on a problem of physiological interest, namely the blood flow through a patient-specific femoropopliteal bypass.
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In this way, the coarser-grained parallelism can be realized significantly improving the parallel performance also for mid- and small-sized circuits.
Recently, we have worked on improving parallel performance of this application by re-designing the parallelization approach.
Increasing the parallel performance becomes crucial with the trend of more parallelism in future computer platforms (Dongarra, 2012).
Resulting parallel performance is also presented.
The speedup is the most commonly used parallel performance measure.
Excellent parallel performance has been obtained using the present code.
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