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Leveraging multicore processors for scientific computing
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis deals with how to develop scientific computing software that runs efficiently on multicore processors. The goal is to find building blocks and programming models that increase the productivity and reduce the probability of programming errors when developing parallel software.

In our search for new building blocks, we evaluate the use of hardware transactional memory for constructing atomic floating point operations. Using benchmark applications from scientific computing, we show in which situations this achieves better performance than other approaches.

Driven by the needs of scientific computing applications, we develop a programming model and implement it as a reusable library. The library provides a run-time system for executing tasks on multicore architectures, with efficient and user-friendly management of dependencies. Our results from scientific computing benchmarks show excellent scaling up to at least 64 cores. We also investigate how the execution time depend on the task granularity, and build a model for the performance of the task library.
Place, publisher, year, edition, pages
Uppsala University, 2012.
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2012-006
National Category
Software Engineering Computational Mathematics
Research subject
Scientific Computing
Identifiers
URN: urn:nbn:se:uu:diva-181266OAI: oai:DiVA.org:uu-181266DiVA, id: diva2:555577
Supervisors
Projects
UPMARCeSSENCEAvailable from: 2012-09-28 Created: 2012-09-20 Last updated: 2018-01-12Bibliographically approved
List of papers
1. Using hardware transactional memory for high-performance computing
Open this publication in new window or tab >>Using hardware transactional memory for high-performance computing
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2011 (English)In: Proc. 25th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, Piscataway, NJ: IEEE , 2011, p. 1660-1667Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2011
National Category
Computer Sciences
Identifiers
urn:nbn:se:uu:diva-158551 (URN)10.1109/IPDPS.2011.322 (DOI)978-1-61284-425-1 (ISBN)
Conference
IPDPS Workshop on Multi-Threaded Architectures and Applications
Projects
eSSENCEUPMARC
Available from: 2011-09-01 Created: 2011-09-10 Last updated: 2018-01-12Bibliographically approved
2. An efficient task-based approach for solving the n-body problem on multicore architectures
Open this publication in new window or tab >>An efficient task-based approach for solving the n-body problem on multicore architectures
2010 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Reykjavík: University of Iceland, 2010
National Category
Software Engineering
Identifiers
urn:nbn:se:uu:diva-135981 (URN)
Conference
PARA 2010: State of the Art in Scientific and Parallel Computing
Projects
eSSENCEUPMARC
Available from: 2010-06-07 Created: 2010-12-09 Last updated: 2018-01-12Bibliographically approved
3. A simple model for tuning tasks
Open this publication in new window or tab >>A simple model for tuning tasks
2011 (English)In: Proc. 4th Swedish Workshop on Multi-Core Computing, Linköping, Sweden: Linköping University , 2011, p. 45-49Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, 2011
National Category
Software Engineering
Identifiers
urn:nbn:se:uu:diva-162609 (URN)
Conference
MCC11
Projects
UPMARCeSSENCE
Available from: 2011-11-24 Created: 2011-12-02 Last updated: 2018-01-12Bibliographically approved

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Tillenius, Martin

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
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More styles
Language
  • de-DE
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  • fi-FI
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  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • rtf
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