KSPPIPECG

Pipelined conjugate gradient method [GV14]. Pipelined Krylov Methods

Notes

This method has only a single non-blocking reduction per iteration, compared to 2 blocking for standard KSPPCG. The non-blocking reduction is overlapped by the matrix-vector product and preconditioner application.

See also KSPPIPECR, where the reduction is only overlapped with the matrix-vector product and KSPGROPPCG

MPI configuration may be necessary for reductions to make asynchronous progress, which is important for performance of pipelined methods. See What steps are necessary to make the pipelined solvers execute efficiently?

Contributed by

Pieter Ghysels, Universiteit Antwerpen, Intel Exascience lab Flanders

References

GV14

P. Ghysels and W. Vanroose. Hiding global synchronization latency in the preconditioned conjugate gradient algorithm. Parallel Computing, 40(7):224–238, 2014. 7th Workshop on Parallel Matrix Algorithms and Applications. doi:10.1016/j.parco.2013.06.001.

See Also

KSP: Linear System Solvers, What steps are necessary to make the pipelined solvers execute efficiently?, Pipelined Krylov Methods, KSPCreate(), KSPSetType(), KSPPIPECG2, KSPPIPECR, KSPGROPPCG, KSPPGMRES, KSPCG, KSPCGUseSingleReduction()

Level

intermediate

Location

src/ksp/ksp/impls/cg/pipecg/pipecg.c

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Index of all KSP routines
Table of Contents for all manual pages
Index of all manual pages