d1f32a3e5d
Most contributors copy an existing port when writing their own so reduce the number of bad examples in the tree.
22 lines
1.2 KiB
Text
22 lines
1.2 KiB
Text
Before a calculation can be performed on a parallel computer, it must first be
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decomposed into tasks which are assigned to different processors. Efficient use
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of the machine requires that each processor have about the same amount of work
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to do and that the quantity of interprocessor communication is kept small.
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Finding an optimal decomposition is provably hard, but due to its practical
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importance, a great deal of effort has been devoted to developing heuristics
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for this problem.
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The decomposition problem can be addressed in terms of graph partitioning. Rob
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Leland and I have developed a variety of algorithms for graph partitioning and
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implemented them into a package we call Chaco. The code is being used at most
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of the major parallel computing centers around the world to simplify the
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development of parallel applications, and to ensure that high performance is
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obtained. Chaco has contributed to a wide variety of computational studies
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including investigation of the molecular structure of liquid crystals,
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evaluating the design of a chemical vapor deposition reactor and modeling
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automobile collisions.
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WWW: http://www.cs.sandia.gov/~bahendr/chaco.html
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___
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Bruce Hendrickson
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Note: this port includes a patch provided by Walter Landry for use within MBDyn
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