End-to-end Parallel Simulations with APES

Harald Klimach; Kartik Jain; Sabine Roller

doi:10.3233/978-1-61499-381-0-703

End-to-end Parallel Simulations with APES

Harald Klimach, Kartik Jain, Sabine Roller

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 Citations (Scopus)

Abstract

Simulations at extreme scale generate large amounts of data. As sufficiently large resources to handle the large data sets are generally available only in a distributed form, the complete tool chain deployed to obtain simulation results needs to be usable on distributed systems. In this work we present the APES framework which provides such a tool chain for mesh based simulations. We show the scaling behavior of two solvers from that framework, both of which are capable to deal with complex geometries but target different application domains. The scalability is investigated on the SuperMUC system installed at the Leibniz-Rechenzentrum in Munich including an analysis of single node behavior and the sustained performance.

Original language	English
Title of host publication	Parallel computing
Subtitle of host publication	Accelerating computational science and engineering (CSE)
Editors	Michael Bader, Arndt Bode, Hans-Joachim Bungartz, Michael Gerndt, Gerhard R. Joubert, Frans Peters
Publisher	IOS
Pages	703-711
Volume	25
ISBN (Print)	978-1-61499-380-3
DOIs	https://doi.org/10.3233/978-1-61499-381-0-703
Publication status	Published - 2014
Externally published	Yes
Event	International Conference on Parallel Computing, ParCo 2013 - Garching, Germany Duration: 10 Sept 2013 → 13 Sept 2013

Publication series

Name	Advances in Parallel Computing
Volume	25
ISSN (Print)	0927-5452
ISSN (Electronic)	1879-808X

Conference

Conference	International Conference on Parallel Computing, ParCo 2013
Abbreviated title	ParCo
Country/Territory	Germany
City	Garching
Period	10/09/13 → 13/09/13

Keywords

Scalability
Octree
Space-filling-curves
Distributed computing

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10.3233/978-1-61499-381-0-703

Cite this

@inproceedings{383eccad8ac440e2a8c7cd97252ba58c,

title = "End-to-end Parallel Simulations with APES",

abstract = "Simulations at extreme scale generate large amounts of data. As sufficiently large resources to handle the large data sets are generally available only in a distributed form, the complete tool chain deployed to obtain simulation results needs to be usable on distributed systems. In this work we present the APES framework which provides such a tool chain for mesh based simulations. We show the scaling behavior of two solvers from that framework, both of which are capable to deal with complex geometries but target different application domains. The scalability is investigated on the SuperMUC system installed at the Leibniz-Rechenzentrum in Munich including an analysis of single node behavior and the sustained performance.",

keywords = "Scalability, Octree, Space-filling-curves, Distributed computing",

author = "Harald Klimach and Kartik Jain and Sabine Roller",

year = "2014",

doi = "10.3233/978-1-61499-381-0-703",

language = "English",

isbn = "978-1-61499-380-3",

volume = "25",

series = "Advances in Parallel Computing",

publisher = "IOS",

pages = "703--711",

editor = "Michael Bader and Arndt Bode and Hans-Joachim Bungartz and Michael Gerndt and Joubert, {Gerhard R.} and Frans Peters",

booktitle = "Parallel computing",

address = "Netherlands",

note = "International Conference on Parallel Computing, ParCo 2013, ParCo ; Conference date: 10-09-2013 Through 13-09-2013",

}

Klimach, H, Jain, K & Roller, S 2014, End-to-end Parallel Simulations with APES. in M Bader, A Bode, H-J Bungartz, M Gerndt, GR Joubert & F Peters (eds), Parallel computing: Accelerating computational science and engineering (CSE). vol. 25, Advances in Parallel Computing, vol. 25, IOS, pp. 703-711, International Conference on Parallel Computing, ParCo 2013, Garching, Bavaria, Germany, 10/09/13. https://doi.org/10.3233/978-1-61499-381-0-703

End-to-end Parallel Simulations with APES. / Klimach, Harald; Jain, Kartik; Roller, Sabine.
Parallel computing: Accelerating computational science and engineering (CSE). ed. / Michael Bader; Arndt Bode; Hans-Joachim Bungartz; Michael Gerndt; Gerhard R. Joubert; Frans Peters. Vol. 25 IOS, 2014. p. 703-711 (Advances in Parallel Computing; Vol. 25).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - End-to-end Parallel Simulations with APES

AU - Klimach, Harald

AU - Jain, Kartik

AU - Roller, Sabine

PY - 2014

Y1 - 2014

N2 - Simulations at extreme scale generate large amounts of data. As sufficiently large resources to handle the large data sets are generally available only in a distributed form, the complete tool chain deployed to obtain simulation results needs to be usable on distributed systems. In this work we present the APES framework which provides such a tool chain for mesh based simulations. We show the scaling behavior of two solvers from that framework, both of which are capable to deal with complex geometries but target different application domains. The scalability is investigated on the SuperMUC system installed at the Leibniz-Rechenzentrum in Munich including an analysis of single node behavior and the sustained performance.

AB - Simulations at extreme scale generate large amounts of data. As sufficiently large resources to handle the large data sets are generally available only in a distributed form, the complete tool chain deployed to obtain simulation results needs to be usable on distributed systems. In this work we present the APES framework which provides such a tool chain for mesh based simulations. We show the scaling behavior of two solvers from that framework, both of which are capable to deal with complex geometries but target different application domains. The scalability is investigated on the SuperMUC system installed at the Leibniz-Rechenzentrum in Munich including an analysis of single node behavior and the sustained performance.

KW - Scalability

KW - Octree

KW - Space-filling-curves

KW - Distributed computing

U2 - 10.3233/978-1-61499-381-0-703

DO - 10.3233/978-1-61499-381-0-703

M3 - Conference contribution

SN - 978-1-61499-380-3

VL - 25

T3 - Advances in Parallel Computing

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EP - 711

BT - Parallel computing

A2 - Bader, Michael

A2 - Bode, Arndt

A2 - Bungartz, Hans-Joachim

A2 - Gerndt, Michael

A2 - Joubert, Gerhard R.

A2 - Peters, Frans

PB - IOS

T2 - International Conference on Parallel Computing, ParCo 2013

Y2 - 10 September 2013 through 13 September 2013

ER -

End-to-end Parallel Simulations with APES

Abstract

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Keywords

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