Publication | Closed Access
Parallel algorithms for the transitive closure and the connected component problems
63
Citations
1
References
1976
Year
Unknown Venue
Mathematical ProgrammingN2 ProcessorsEngineeringComputer ArchitectureParallel ImplementationComputational ComplexityConnected Component ProblemsTransitive ClosureParallel MetaheuristicsParallel AlgorithmsParallel Complexity TheoryDiscrete MathematicsParallel ComputingCombinatorial OptimizationParallel Problem SolvingComputer EngineeringCommon MemoryDistributed SystemsComputer ScienceN3 ProcessorsExternal-memory AlgorithmTheory Of ComputingGraph TheoryParallel ProcessingParallel ProgrammingConcurrent Data Structure
Parallel programs are presented that determine the transitive closure of a matrix using n3 processors and connected components of an undirected graph using n2 processors. In both cases, the desired results are obtained in time 0(log2n). It is assumed that the processors have access to common memory. Simultaneous access to the same location is permitted for fetch, but not store, instructions.The problem of determining the connected components of a graph using a parallel computer has recently appeared in the literature [1,2]. The result in [1] is based on finding the transitive closure of a matrix in time 0(log2n) which can be done using 0(n3) processors. We show that n2 processors are sufficient to solve the connected component problem in time 0(log2n).We present algorithm CLOSURE that will find the transitive closure of Boolean matrix M [n by n] using n3 processors [numbered P(0,0,0) through P(n−1 ,n−1, n−1)] each of which has local memory and each of which can access common array A [n by n].
| Year | Citations | |
|---|---|---|
Page 1
Page 1