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Partitioning for Parallelization Using Graph Parsing (1991)  (Make Corrections)  (1 citation)
C.L. McCreary



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Abstract: This paper presents a graph-theoretic scheme for partitioning and scheduling a computation for efficient parallel execution. The technique parses a graph into a hierarchy of subgraphs known as clans that can be identified as able or unable to support parallel execution. The technique is known as clan-based graph decomposition and will be referred to as CGD. Unlike standard graph partitioning techniques, CGD considers the structure of the entire graph and bases parallelization decisions on this... (Update)

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...such that every element not in the subset is related in the same way (i.e. ancestor, descendent, or neither) to each member in the subset. [6] Clans are identified as trivial, independent, linear, or primitive, where each single node is a trivial clan, and primitive clans...

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BibTeX entry:   (Update)

McCreary, C.L., "Partitioning for Parallelization Using Graph Parsing", Technical Report CSE-TR-91-17, Auburn University, 1991. http://citeseer.ist.psu.edu/mccreary91partitioning.html   More

@techreport{ mccreary91partitioning,
    author = "C. L. McCreary",
    title = "Partitioning for Parallelization Using Graph Parsing",
    number = "CSE91-17",
    year = "1991",
    url = "citeseer.ist.psu.edu/mccreary91partitioning.html" }
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