kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
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.ORCID iD: 0000-0003-4158-3583
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
Show others and affiliations
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.
Keywords [en]
AllScale Environment, Particle-In-Cell method, task-based nested recursive parallelism, prec
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-187878OAI: oai:DiVA.org:kth-187878DiVA, id: diva2:931822
Conference
The Exascale Applications & Software Conference (EASC2016)
Projects
AllScale
Funder
EU, Horizon 2020, 671603
Note

QC 20220322

Available from: 2016-05-30 Created: 2016-05-30 Last updated: 2024-01-15Bibliographically approved

Open Access in DiVA

fulltext(1723 kB)191 downloads
File information
File name FULLTEXT02.pdfFile size 1723 kBChecksum SHA-512
43f36ada9bf7e39097984b516c7e460793d83aa76e744a42d9b5090f9e4079560a0eaf6089bc87f2c801d20db5a37b3a52e8b6023c85d8840aeae9e9d425025b
Type fulltextMimetype application/pdf

Authority records

Iakymchuk, RomanPeng, Ivy BoMarkidis, StefanoLaure, Erwin

Search in DiVA

By author/editor
Iakymchuk, RomanPeng, Ivy BoMarkidis, StefanoLaure, Erwin
By organisation
Computational Science and Technology (CST)Centre for High Performance Computing, PDC
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 191 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

urn-nbn

Altmetric score

urn-nbn
Total: 450 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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