Title :
Optimal EREW parallel algorithms for connectivity, ear decomposition and st-numbering of planar graphs
Author_Institution :
Dept. of Comput. Sci., Duke Univ., Durham, NC, USA
fDate :
30 Apr-2 May 1991
Abstract :
Parallel EREW deterministic algorithms for finding the connected components, ear decomposition and st-numbering of a planar graph are presented. The algorithms take O(log(n)) time with log(n)/n+m processors. Previous results have the same complexity, but use the CRCW model. The same algorithms can be used for graphs with low genus. Let g be the genus of the minimal embedding of the graph, n the number of vertices and m the number of edges. The new algorithm takes T=O(log( n)+log2(g)) time and using optimal space and P=O(log(n)/n+m) processors
Keywords :
computational complexity; graph theory; parallel algorithms; EREW deterministic algorithms; EREW parallel algorithms; complexity; connected components; connectivity; ear decomposition; edges; low genus; planar graphs; st-numbering; vertices; Computer science; Contracts; Ear; Embedded computing; Iterative algorithms; Parallel algorithms; Phase change random access memory; Read-write memory; Sorting; Tree graphs;
Conference_Titel :
Parallel Processing Symposium, 1991. Proceedings., Fifth International
Conference_Location :
Anaheim, CA
Print_ISBN :
0-8186-9167-0
DOI :
10.1109/IPPS.1991.153761