Parallel algorithms with optimal speedup for bounded treewidth
HL Bodlaender, T Hagerup - SIAM Journal on Computing, 1998 - SIAM
HL Bodlaender, T Hagerup
SIAM Journal on Computing, 1998•SIAMWe describe the first parallel algorithm with optimal speedup for constructing minimum-width
tree decompositions of graphs of bounded treewidth. On n-vertex input graphs, the algorithm
works in O ((log n) 2) time using O (n) operations on the EREW PRAM. We also give faster
parallel algorithms with optimal speedup for the problem of deciding whether the treewidth
of an input graph is bounded by a given constant and for a variety of problems on graphs of
bounded treewidth, including all decision problems expressible in monadic second-order …
tree decompositions of graphs of bounded treewidth. On n-vertex input graphs, the algorithm
works in O ((log n) 2) time using O (n) operations on the EREW PRAM. We also give faster
parallel algorithms with optimal speedup for the problem of deciding whether the treewidth
of an input graph is bounded by a given constant and for a variety of problems on graphs of
bounded treewidth, including all decision problems expressible in monadic second-order …
We describe the first parallel algorithm with optimal speedup for constructing minimum-width tree decompositions of graphs of bounded treewidth. On n-vertex input graphs, the algorithm works in O((log n)2) time using O(n) operations on the EREW PRAM. We also give faster parallel algorithms with optimal speedup for the problem of deciding whether the treewidth of an input graph is bounded by a given constant and for a variety of problems on graphs of bounded treewidth, including all decision problems expressible in monadic second-order logic. On n-vertex input graphs, the algorithms use O(n) operations together with O(log n log*n) time on the EREW PRAM, or O(log n) time on the CRCW PRAM.
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