Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance study of multithreaded MPI and Openmp tasking in a large scientific code
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0002-2792-1622
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).
2017 (English)In: Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 756-765, article id 7965119Conference paper, Published paper (Refereed)
Abstract [en]

With a large variety and complexity of existing HPC machines and uncertainty regarding exact future Exascale hardware, it is not clear whether existing parallel scientific codes will perform well on future Exascale systems: they can be largely modified or even completely rewritten from scratch. Therefore, now it is important to ensure that software is ready for Exascale computing and will utilize all Exascale resources well. Many parallel programming models try to take into account all possible hardware features and nuances. However, the HPC community does not yet have a precise answer whether, for Exascale computing, there should be a natural evolution of existing models interoperable with each other or it should be a disruptive approach. Here, we focus on the first option, particularly on a practical assessment of how some parallel programming models can coexist with each other. This work describes two API combination scenarios on the example of iPIC3D [26], an implicit Particle-in-Cell code for space weather applications written in C++ and MPI plus OpenMP. The first scenario is to enable multiple OpenMP threads call MPI functions simultaneously, with no restrictions, using an MPI THREAD MULTIPLE thread safety level. The second scenario is to utilize the OpenMP tasking model on top of the first scenario. The paper reports a step-by-step methodology and experience with these API combinations in iPIC3D; provides the scaling tests for these implementations with up to 2048 physical cores; discusses occurred interoperability issues; and provides suggestions to programmers and scientists who may adopt these API combinations in their own codes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 756-765, article id 7965119
Keywords [en]
API interoperability, Exascale, MPI-THREAD-MULTIPLE thread safety, multithreaded MPI, OpenMP tasks, performance, programming models
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-213532DOI: 10.1109/IPDPSW.2017.128ISI: 000417418900084Scopus ID: 2-s2.0-85028041248ISBN: 9781538634080 OAI: oai:DiVA.org:kth-213532DiVA, id: diva2:1137842
Conference
31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, Orlando, United States, 29 May 2017 through 2 June 2017
Funder
EU, Horizon 2020, 671602
Note

QC 20170901

Available from: 2017-09-01 Created: 2017-09-01 Last updated: 2018-03-13Bibliographically approved

Open Access in DiVA

fulltext(2995 kB)9 downloads
File information
File name FULLTEXT03.pdfFile size 2995 kBChecksum SHA-512
a4d0a756e0d08f1cb0104b24cb963647694d7b404d61cbc9c25e1060d76743137d61180dc544ec5a13345d73e841a769f1eea78f8f5205d8400f4dc26246d1b7
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Akhmetova, DanaIakymchuk, RomanEkeberg, ÖrjanLaure, Erwin
By organisation
Computational Science and Technology (CST)
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 15 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 126 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf