We present a simple parallel algorithm for the single-source shortest path problem in planar digraphs with nonnegative real edge weights. The algorithm runs on the EREW PRAM model of parallel computation in O(�n 2 � +n 1� � � log n � time, performing O(n 1+ � log n) work for any 0���1=2. The strength of the algorithm is its simplicity, making it easy to implement, and presumably quite efficient in practice. The algorithm improves upon the work of all previous algorithms. The work can be further reduced to O(n 1+ � ), by plugging in a less practical, sequential planar shortest path algorithm. Our algorithm is based on a region decomposition of the input graph, and uses a well-known parallel implementation of Dijkstra's algorithm
AbstractWe give a linear-time algorithm for single-source shortest paths in planar graphs with nonne...
We consider the problem of preprocessing an n-vertex digraph with real edge weights so that subseque...
In spite of intensive research, little progress has been made towards fast and work-efficient parall...
We present a simple parallel algorithm for the {\em single-source shortest path problem} in {\em pla...
In spite of intensive research, no work-efficient parallel algorithm for the single source shortest ...
The single source shortest path (SSSP) problem lacks parallel solutions which are fast and simultane...
AbstractThe single source shortest path problem for arbitrary directed graphs with n nodes, m edges ...
The single source shortest path (SSSP) problem lacks parallel solutions which are fast and simultan...
We describe algorithms for finding shortest paths and distances in a planar digraph which exploit th...
We describe algorithms for finding shortest paths and distances in a planar digraph which exploit th...
We consider the problem of preprocessing an n-vertex digraph with real edge weights so that subseque...
We describe Mgorithms for finding shortest paths and distances in a planar digraph which exploit the...
AbstractWe consider the problem of preprocessing an n-vertex digraph with real edge weights so that ...
We consider the problem of preprocessing an $n$-vertex digraph with real edge weights so that subseq...
We consider the problem of preprocessing an $n$-vertex digraph with real edge weights so that subseq...
AbstractWe give a linear-time algorithm for single-source shortest paths in planar graphs with nonne...
We consider the problem of preprocessing an n-vertex digraph with real edge weights so that subseque...
In spite of intensive research, little progress has been made towards fast and work-efficient parall...
We present a simple parallel algorithm for the {\em single-source shortest path problem} in {\em pla...
In spite of intensive research, no work-efficient parallel algorithm for the single source shortest ...
The single source shortest path (SSSP) problem lacks parallel solutions which are fast and simultane...
AbstractThe single source shortest path problem for arbitrary directed graphs with n nodes, m edges ...
The single source shortest path (SSSP) problem lacks parallel solutions which are fast and simultan...
We describe algorithms for finding shortest paths and distances in a planar digraph which exploit th...
We describe algorithms for finding shortest paths and distances in a planar digraph which exploit th...
We consider the problem of preprocessing an n-vertex digraph with real edge weights so that subseque...
We describe Mgorithms for finding shortest paths and distances in a planar digraph which exploit the...
AbstractWe consider the problem of preprocessing an n-vertex digraph with real edge weights so that ...
We consider the problem of preprocessing an $n$-vertex digraph with real edge weights so that subseq...
We consider the problem of preprocessing an $n$-vertex digraph with real edge weights so that subseq...
AbstractWe give a linear-time algorithm for single-source shortest paths in planar graphs with nonne...
We consider the problem of preprocessing an n-vertex digraph with real edge weights so that subseque...
In spite of intensive research, little progress has been made towards fast and work-efficient parall...