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ZENODO
Research . 2014
License: CC BY
Data sources: Datacite
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ZENODO
Other literature type . 2014
License: CC BY
Data sources: ZENODO
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ZENODO
Research . 2014
License: CC BY
Data sources: Datacite
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Scalability Improvement Of The Projected Conjugate Gradient Method Used In Feti Domain Decomposition Algorithms

descriptionPublicationkeyboard_double_arrow_right Research , Other literature type 31 Aug 2014Publisher:ZenodoFunded by:EC | PRACE-2IP
Authors: Tomáš Kozubek;

doi: 10.5281/zenodo.825511 , 10.5281/zenodo.825510

Scalability Improvement Of The Projected Conjugate Gradient Method Used In Feti Domain Decomposition Algorithms

Abstract

This report summarizes the results of the scalability improvements of the algorithms used in Total FETI (TFETI). A performance evaluation of two new techniques is presented in this report: (1) a novel pipelined implementation of CG method in PETSc and (2) a MAGMA LU solver running on following many-cores accelerators: GPU Nvidia Tesla K20m and Intel MIC Xeon Phi 5110P.

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Keywords

scalability improvements, FETI, PETSc, MAGMA LU solver running

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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