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  • 1.
    He, Xin
    et al.
    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, Numerical Analysis.
    Holm, Marcus
    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.
    Neytcheva, Maya
    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, Numerical Analysis.
    Efficiently parallel implementation of the inverse Sherman–Morrison algorithm2012Report (Other academic)
  • 2.
    He, Xin
    et al.
    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, Numerical Analysis.
    Holm, Marcus
    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.
    Neytcheva, Maya
    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, Numerical Analysis.
    Parallel implementation of the Sherman–Morrison matrix inverse algorithm2013In: Applied Parallel and Scientific Computing, Berlin: Springer-Verlag , 2013, p. 206-219Conference paper (Refereed)
  • 3.
    Holm, Marcus
    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.
    Scientific computing on hybrid architectures2013Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Modern computer architectures, with multicore CPUs and GPUs or other accelerators, make stronger demands than ever on writers of scientific code. As a rule of thumb, the fastest, most efficient program consists of labor-intensive code written by expert programmers for a certain application on a particular computer. This thesis deals with several algorithmic and technical approaches towards effectively satisfying the demand for high-performance parallel programming without incurring such a high cost in expert programmer time. Effective programming is accomplished by writing performance-portable code where performance-critical functionality is provided either by external software or at least a balance between maintainability/generality and efficiency.

    List of papers
    1. Efficiently implementing Monte Carlo electrostatics simulations on multicore accelerators
    Open this publication in new window or tab >>Efficiently implementing Monte Carlo electrostatics simulations on multicore accelerators
    2012 (English)In: Applied Parallel and Scientific Computing: Part II, Berlin: Springer-Verlag , 2012, p. 379-388Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Berlin: Springer-Verlag, 2012
    Series
    Lecture Notes in Computer Science ; 7134
    National Category
    Computer Sciences Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-135987 (URN)10.1007/978-3-642-28145-7_37 (DOI)000309716000037 ()978-3-642-28144-0 (ISBN)
    Conference
    PARA 2010: State of the Art in Scientific and Parallel Computing
    Projects
    eSSENCEUPMARC
    Available from: 2012-02-16 Created: 2010-12-09 Last updated: 2018-01-12Bibliographically approved
    2. 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
    3. Parallel implementation of the Sherman–Morrison matrix inverse algorithm
    Open this publication in new window or tab >>Parallel implementation of the Sherman–Morrison matrix inverse algorithm
    2013 (English)In: Applied Parallel and Scientific Computing, Berlin: Springer-Verlag , 2013, p. 206-219Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Berlin: Springer-Verlag, 2013
    Series
    Lecture Notes in Computer Science ; 7782
    National Category
    Computer Sciences Computational Mathematics
    Identifiers
    urn:nbn:se:uu:diva-198520 (URN)10.1007/978-3-642-36803-5_15 (DOI)000343867800015 ()978-3-642-36802-8 (ISBN)
    Conference
    PARA 2012: State of the Art in Scientific and Parallel Computing
    Projects
    UPMARCeSSENCE
    Available from: 2013-02-18 Created: 2013-04-17 Last updated: 2018-01-11Bibliographically approved
    4. Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems
    Open this publication in new window or tab >>Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems
    2014 (English)In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 36, p. C376-C399Article in journal (Refereed) Published
    National Category
    Computer Sciences Computational Mathematics Energy Engineering
    Identifiers
    urn:nbn:se:uu:diva-200240 (URN)10.1137/130943595 (DOI)000344743800040 ()
    Projects
    eSSENCEUPMARC
    Available from: 2014-08-29 Created: 2013-05-23 Last updated: 2018-11-12Bibliographically approved
  • 4.
    Holm, Marcus
    et al.
    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.
    Engblom, Stefan
    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.
    Goude, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
    Holmgren, Sverker
    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.
    Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems2014In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 36, p. C376-C399Article in journal (Refereed)
  • 5.
    Holm, Marcus
    et al.
    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.
    Holmgren, Sverker
    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.
    Efficiently implementing Monte Carlo electrostatics simulations on multicore accelerators2012In: Applied Parallel and Scientific Computing: Part II, Berlin: Springer-Verlag , 2012, p. 379-388Conference paper (Refereed)
  • 6.
    Holm, Marcus
    et al.
    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.
    Tillenius, Martin
    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.
    Black-Schaffer, David
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    A simple model for tuning tasks2011In: Proc. 4th Swedish Workshop on Multi-Core Computing, Linköping, Sweden: Linköping University , 2011, p. 45-49Conference paper (Other academic)
  • 7.
    Torabi Moghadam, Behrooz
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Alvarsson, Jonathan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Holm, Marcus
    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.
    Eklund, Martin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Carlsson, Lars
    Spjuth, Ola
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Scaling predictive modeling in drug development with cloud computing2015In: Journal of Chemical Information and Modeling, ISSN 1549-9596, Vol. 55, p. 19-25Article in journal (Refereed)
1 - 7 of 7
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