most citedImproving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining

4 citations · 4 across the 1 of their papers we have counts for

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cs.DC2019★ 4 cited

Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining

Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels +1

This paper presents performance results comparing MPI-based implementations of the popular Conjugate Gradient (CG) method and several of its communication hiding (or 'pipelined') v…