Using ESPRESO as Linear Solver Library for Third Party FEM Tools for Solving Large Scale Problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F18%3A10240670" target="_blank" >RIV/61989100:27230/18:10240670 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/18:10240670

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-97136-0_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-97136-0_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-97136-0_10" target="_blank" >10.1007/978-3-319-97136-0_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using ESPRESO as Linear Solver Library for Third Party FEM Tools for Solving Large Scale Problems

Popis výsledku v původním jazyce

ESPRESO is a FEM package that includes a Hybrid Total FETI (HTFETI) linear solver targeted at solving large scale engineering problems. The scalability of the solver was tested on several of the world&apos;s largest supercomputers. To provide our scalable implementation of HTFETI algorithms to all potential users, a simple C API was developed and is presented. The paper describes API methods, compilation and linking process. As a proof of concept we interfaced ESPRESO with the CSC ELMER solver and compared its performance with the ELMER FETI solver. HTFETI performs two level decomposition, which significantly improves both memory utilization and solver performance. To select optimal second level decomposition we have developed a performance model that controls decomposition automatically. This is a major simplification for all users that ensures optimal solver settings. We show that the ESPRESO HTFETI solver is up to 3.7 times faster than the ELMER FETI solver when running on 13 500 MPI processes (the 614 compute nodes of the Salomon supercomputer) and solving 1.5 billion unknown problems of 3D linear elasticity.

Název v anglickém jazyce

Using ESPRESO as Linear Solver Library for Third Party FEM Tools for Solving Large Scale Problems

Popis výsledku anglicky

ESPRESO is a FEM package that includes a Hybrid Total FETI (HTFETI) linear solver targeted at solving large scale engineering problems. The scalability of the solver was tested on several of the world&apos;s largest supercomputers. To provide our scalable implementation of HTFETI algorithms to all potential users, a simple C API was developed and is presented. The paper describes API methods, compilation and linking process. As a proof of concept we interfaced ESPRESO with the CSC ELMER solver and compared its performance with the ELMER FETI solver. HTFETI performs two level decomposition, which significantly improves both memory utilization and solver performance. To select optimal second level decomposition we have developed a performance model that controls decomposition automatically. This is a major simplification for all users that ensures optimal solver settings. We show that the ESPRESO HTFETI solver is up to 3.7 times faster than the ELMER FETI solver when running on 13 500 MPI processes (the 614 compute nodes of the Salomon supercomputer) and solving 1.5 billion unknown problems of 3D linear elasticity.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2015070" target="_blank" >LM2015070: IT4Innovations národní superpočítačové centrum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11087

ISBN

978-3-319-97135-3

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

14

Strana od-do

130-143

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Karolinka

Datum konání akce

22. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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