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

Result code in 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>
Alternative codes found
RIV/61989100:27740/18:10240670
Result on the web
<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>

Result language
angličtina
Original language name
Using ESPRESO as Linear Solver Library for Third Party FEM Tools for Solving Large Scale Problems
Original language description
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'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.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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
Number of pages
14
Pages from-to
130-143
Publisher name
Springer
Place of publication
Cham
Event location
Karolinka
Event date
May 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)