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  • 1.
    Boklund, Andreas
    et al.
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Namaki, Nima
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Gustafsson, J
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Lingbrand, M
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Dual-core efficiency for engineering simulation applications2008In: 2008 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008: Las Vegas, NV; 14 July 2008 through 17 July 2008, 2008, p. 962-968Conference paper (Refereed)
  • 2.
    Boklund, Andreas
    et al.
    University West, Department of Technology, Mathematics and Computer Science, Division for Computer Science.
    Namaki, Nima
    University West, Department of Technology, Mathematics and Computer Science, Division for Computer Science.
    Mankefors-Christiernin, Stefan
    University West, Department of Technology, Mathematics and Computer Science, Division for Computer Science.
    Jiresjö, Christian
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    A characterisation tool for the impact of network deficiencies on HPC applications2008In: Proceedings of the 2008 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008, 2008, p. 888-894Conference paper (Other academic)
  • 3.
    de Blanche, Andreas
    et al.
    University West, Department of Engineering Science, Division of Automation and Computer Engineering.
    Namaki, Nima
    University West, Department of Engineering Science, Division of Automation and Computer Engineering.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Engineering.
    Multicore Clusters for CFD Simulations: Comparative Study of Three CFD-Softwares2012In: PROCEEDINGS OFTHE 2012 INTERNATIONAL CONFERENCE ONPARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES ANDAPPLICATIONS, PART II / [ed] Hamid R. Arabnia, Hiroshi Ishii, Minoru Ito Kazuki Joe, Hiroaki Nishikawa, CSREA Press, 2012, p. 855-852Conference paper (Refereed)
    Abstract [en]

    Multicore processors have come to stay, fulfill Moore’s law and might very well revolutionize the computer industry. However, we are now in a transitional period before the new programming models, numerical algorithms and general computer architecture have been developed and the software has been rewritten. This paper focuses on the effects multicore based systems have on industrial computational fluid dynamics (CFD) simulations. The most significant finding was that five of the models ran faster when only one process was executed on each multicore node instead of two. In these cases the execution time was increased by between 6.5% and 64% with a median increase of 10% when utilizing both cores.

  • 4.
    Namaki, Nima
    University West, Department of Economics and IT, Division of Computer Science and Informatics.
    Exhaustion Dominated Performance: Methodology, Tools and Empirical Experiments2008Licentiate thesis, comprehensive summary (Other academic)
  • 5.
    Namaki, Nima
    et al.
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    de Blanche, Andreas
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    A Tool for Processor Dependency Characterization of HPC Applications2009In: Proceedings for the HPC Asia & APAN 2009, Hsinchu, Taiwan: National Center for High-Performance Computing , 2009, p. 70-76Conference paper (Refereed)
    Abstract [en]

    In this paper we have implemented and verified Cpugen, a tool for characterization of processor resource utilization of HPC applications .Toward this end we implemented Cpugen, an application with good accuracy for processor load generation. Cpugen was verified through three different phases of passive, active and real world application measurements. The measurement results show that our implemented method is a viable option for non-intrusive, stable and robust load generation. The error range for all generated target loads are between 0.00% minimum and 1.04% maximum, with a median deviation of 0.11%. We can conclude that the method utilized in this investigation provides the ability to generate stable and robust processor load.

  • 6.
    Namaki, Nima
    et al.
    University West, School of Business, Economics and IT, Division of Computer Engineering.
    de Blanche, Andreas
    University West, School of Business, Economics and IT, Division of Computer Engineering.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Engineering.
    Exhausted Dominated Performance: Basic Proof of Concept2010In: International conference on Parallel and Distributed Processing Techniques and Applications / [ed] Hamid R. Arabnia, Las Vegas: CSREA , 2010, p. 63-67Conference paper (Refereed)
  • 7.
    Namaki, Nima
    et al.
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    de Blanche, Andreas
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Exhaustion dominated performance: a first attempt2009In: SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing, ACM , 2009, p. 1011-1012Conference paper (Refereed)
    Abstract [en]

    In this paper we present a first attempt to an analytical method to discover and understand how the available resources influence the execution time. Our method is based on a piecewise linear model for dominating execution limitations and black-box observations. We verify this analysis method by a set of real-world experiments. Finally, we conclude that the different effects follow a linear superposition within a certain range.

  • 8.
    Namaki, Nima
    et al.
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    de Blanche, Andreas
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Mankefors-Christiernin, Stefan
    University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
    Exhaustion dominated performance: an empirical method evalutationManuscript (preprint) (Other academic)
  • 9.
    Namaki, Nima
    et al.
    University West, Department of Technology, Mathematics and Computer Science, Division for Computer Science.
    Jiresjö, Christian
    University West, Department of Technology, Mathematics and Computer Science, Division for Computer Science.
    Aspects of Distributed File Systems Considering CPU Performance with Lustre2006In: Proceedings of the International Conference on Applied Computing: San Sebastian, Spain. Feb 25-28, 2006, p. 130-136Conference paper (Other academic)
1 - 9 of 9
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