(Enter summary)
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)
Context of citations to this paper: More
...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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