-ksp_pipelcg_pipel | - pipelined length | |
-ksp_pipelcg_lmin | - approximation to the smallest eigenvalue of the preconditioned operator (default: 0.0) | |
-ksp_pipelcg_lmax | - approximation to the largest eigenvalue of the preconditioned operator (default: 0.0) | |
-ksp_pipelcg_monitor | - output where/why the method restarts when a sqrt breakdown occurs |
see KSPSolve() for additional options
* | - J. Cornelis, S. Cools and W. Vanroose, "The Communication-Hiding Conjugate Gradient Method with Deep Pipelines" Submitted to SIAM Journal on Scientific Computing (SISC), 2018. | |
* | - S. Cools, J. Cornelis and W. Vanroose, "Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method" Submitted to IEEE Transactions on Parallel and Distributed Systems, 2019. |