Pipelined conjugate gradient method with a single non-blocking allreduce per two iterations. This method has only a single non-blocking reduction per two iterations, compared to 2 blocking for standard CG. The
non-blocking reduction is overlapped by two matrix-vector products and two preconditioner applications.
MPI configuration may be necessary for reductions to make asynchronous progress, which is important for performance of pipelined methods.
See the FAQ on the PETSc website for details.
Manasi Tiwari, Computational and Data Sciences, Indian Institute of Science, Bangalore
Manasi Tiwari and Sathish Vadhiyar, "Pipelined Conjugate Gradient Methods for Distributed Memory Systems",
Submitted to International Conference on High Performance Computing, Data and Analytics 2020.
KSPCreate(), KSPSetType(), KSPCG, KSPPIPECG
Index of all KSP routines
Table of Contents for all manual pages
Index of all manual pages