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A Particle-in-Cell Method for Automatic Load-Balancing with the AllScale Environment
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0003-2414-700X
University of Innsbruck, Institute of Computer Science.
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0003-0639-0639
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2016 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

We present an initial design and implementation of a Particle-in-Cell (PIC) method based on the work carried out in the European Exascale AllScale project. AllScale provides a unified programming system for the effective development of highly scalable, resilient and performance-portable parallel applications for Exascale systems. The AllScale approach is based on task-based nested recursive parallelism and it provides mechanisms for automatic load-balancing in the PIC simulations. We provide the preliminary results of the AllScale-based PIC implementation and draw directions for its future development. 

Place, publisher, year, edition, pages
2016.
Keyword [en]
AllScale Environment, Particle-In-Cell method, task-based nested recursive parallelism, prec
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-187878ISBN: 123-4567-24-567/08/06 (print)OAI: oai:DiVA.org:kth-187878DiVA: diva2:931822
Conference
The Exascale Applications & Software Conference (EASC2016)
Projects
AllScale
Funder
EU, Horizon 2020, 671603
Note

QC 20160610

Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2016-07-04Bibliographically approved

Open Access in DiVA

fulltext(1723 kB)54 downloads
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Type fulltextMimetype application/pdf

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