SIAM Journal on Scientific Computing · 2006 · 57 citations · 16 references
ComputingComputer ScienceHigh-performance ComputingInterconnection NetworksParallel AlgorithmsParallel ComputingData ParallelismGraph AlgorithmsMatrix ComputationMatrix FactorizationNumerical Linear AlgebraParallel ArchitecturesDomain DecompositionGraph DecompositionsInterface DecompositionParallel Linear System SolversParallel Matrix AlgorithmsParallel Sparse Linear AlgebraSparse Linear AlgebraSparse Matrix Computation
PHIDAL (parallel hierarchical interface decomposition algorithm) is a parallel incomplete factorization method which exploits a hierarchical interface decomposition of the adjacency graph of the coefficient matrix. The idea of the decomposition is similar to that of the well‐known wirebasket techniques used in domain decomposition. However, the method is devised for general, irregularly structured, sparse linear systems. This paper describes a few algorithms for obtaining good quality hierarchical graph decompositions and discusses the parallel implementation of the factorization procedure. Numerical experiments are reported to illustrate the scalability of the algorithm and its effectiveness as a general purpose parallel linear system solver.
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