Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method

Pipelined Krylov subspace methods (also referred to as communication-hiding methods) have been proposed in the literature as a scalable alternative to classic Krylov subspace algorithms for iteratively computing the solution to a large linear system in parallel. For symmetric and positive definite s...

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Vydané v:	IEEE transactions on parallel and distributed systems Ročník 30; číslo 11; s. 2507 - 2522
Hlavní autori:	Cools, Siegfried, Cornelis, Jeffrey, Vanroose, Wim
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms attainable accuracy Communication Conjugate gradient method conjugate gradients Conjugates Distributed memory Distributed processing Global communication Gradient methods Hardware inexact computations Krylov subspace methods latency hiding Mathematical analysis Matrix algebra Matrix methods Methods Numerical stability parallel performance Pipeline processing pipelining Pipelining (computers) Rounding Stability Subspace methods Subspaces Symmetric matrices
ISSN:	1045-9219, 1558-2183
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