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Interoperability of GASPI and MPI in large scale scientific applications
KTH, School of Electrical Engineering and Computer Science (EECS), Computational Science and Technology (CST).ORCID iD: 0000-0003-1603-5294
KTH, School of Electrical Engineering and Computer Science (EECS), Computational Science and Technology (CST).ORCID iD: 0000-0003-2414-700X
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2018 (English)In: 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, Springer Verlag , 2018, p. 277-287Conference paper, Published paper (Refereed)
Abstract [en]

One of the main hurdles of a broad distribution of PGAS approaches is the prevalence of MPI, which as a de-facto standard appears in the code basis of many applications. To take advantage of the PGAS APIs like GASPI without a major change in the code basis, interoperability between MPI and PGAS approaches needs to be ensured. In this article, we address this challenge by providing our study and preliminary performance results regarding interoperating GASPI and MPI on the performance crucial parts of the Ludwig and iPIC3D applications. In addition, we draw a strategy for better coupling of both APIs. 

Place, publisher, year, edition, pages
Springer Verlag , 2018. p. 277-287
Keyword [en]
GASPI, Halo exchange, Interoperability, iPIC3D, Ludwig, MPI, Artificial intelligence, Computer science, Computers, De facto standard, Preliminary performance results, Scientific applications
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-227469DOI: 10.1007/978-3-319-78054-2_26Scopus ID: 2-s2.0-85044787063ISBN: 9783319780535 OAI: oai:DiVA.org:kth-227469DiVA, id: diva2:1208885
Conference
10 September 2017 through 13 September 2017
Note

Conference code: 212299; Export Date: 9 May 2018; Conference Paper; Correspondence Address: Iakymchuk, R.; KTH Royal Institute of TechnologySweden; email: riakymch@kth.se; Funding details: 671602, EIT, H2020 European Institute of Innovation and Technology; Funding text: Acknowledgement. This work was funded by EU H2020 Research and Innovation programme through the INTERTWinE project (no. 671602). The simulations were performed on resources provided by SNIC at PDC-HPC, KTH. QC 20180521

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2018-05-21Bibliographically approved

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Akhmetova, DanaIakymchuk, RomanMarkidis, StefanoLaure, Erwin

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