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Parallel Algorithms for Reducible Flow Graphs

โœ Scribed by Vijaya Ramachandran


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
324 KB
Volume
23
Category
Article
ISSN
0196-6774

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โœฆ Synopsis


We present parallel NC algorithms for recognizing a reducible flow graph rfg and for finding dominators, minimum feedback vertex sets, and a depth first search ลฝ . tree in an rfg. On an n-node rfg, all of these algorithms run in polylog n time ลฝ .

ลฝ . using M n processors, where M n is the number of processors needed to multiply two n = n matrices in polylog time. We show that finding a minimum feedback vertex set in vertex-weighted rfg's or finding a minimum feedback arc set in arc-weighted rfg's is P-complete. For arc or vertex weights in unary, we present RNC algorithms for these problems and show that the problems are in NC if and only if the problem of finding a minimum cut in a flow network is in NC. แฎŠ 1997

Academic Press

The editors apologize for the delay in publication of this paper, for which the author is in no way responsible.


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