38 citations · 120 across the 12 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
math.NA2018
Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method
Siegfried Cools
Pipelined Krylov subspace methods avoid communication latency by reducing the number of global synchronization bottlenecks and by hiding global communication behind useful computat…
math.NA2018★ 3 cited
Numerical analysis of the maximal attainable accuracy in communication hiding pipelined Conjugate Gradient methods
Siegfried Cools
Krylov subspace methods are widely known as efficient algebraic methods for solving large scale linear systems. However, on massively parallel hardware the performance of these met…
cs.DC2018★ 19 cited
The Communication-Hiding Conjugate Gradient Method with Deep Pipelines
Jeffrey Cornelis, Siegfried Cools, Wim Vanroose
Krylov subspace methods are among the most efficient solvers for large scale linear algebra problems. Nevertheless, classic Krylov subspace algorithms do not scale well on massivel…