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International Conference on ICT Innovations

ICT Innovations 2012: ICT Innovations 2012 pp 255–264Cite as

Performance Evaluation of Computational Phylogeny Software in Parallel Computing Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 207))

Abstract

Computational phylogeny is a challenging application even for the most powerful supercomputers. One of significant application in this are is Randomized Axelerated Maximum Likelihood (RAxML) which is used for sequential and parallel Maximum Likelihood based inference of large phylogenetic trees. This paper covers scalability testing results on high-performance computers on up to 256 cores, for coarse and fine grained parallelization using MPI, Pthreads and hybrid version and comparison between results of traditional and SSE3 version of RAxML.

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Author information

Authors and Affiliations

  1. Center of Information Systems, University of Montenegro, Cetinjska 2, Podgorica, Montenegro

    Luka Filipović

  2. Faculty of Natural Sciences, University of Montenegro, Mihaila Lalića 1, Podgorica, Montenegro

    Danilo Mrdak

  3. Faculty of Electrical Engineering, University of Montenegro, Džordža Vašingtona bb, Podgorica, Montenegro

    Božo Krstajić

Authors
  1. Luka Filipović
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  2. Danilo Mrdak
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  3. Božo Krstajić
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Corresponding author

Correspondence to Luka Filipović .

Editor information

Editors and Affiliations

  1. , Faculty of Computer Science, Ss Cyrill and Methodius University, Ruger Boskovic 16, POBox 393, Skopje, 1000, Macedonia

    Smile Markovski

  2. , Faculty of Information Sciences, Ss Cyrill and Methodius University, Ruger Boskovic 16, Skopje, 1000, Macedonia

    Marjan Gusev

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Filipović, L., Mrdak, D., Krstajić, B. (2013). Performance Evaluation of Computational Phylogeny Software in Parallel Computing Environment. In: Markovski, S., Gusev, M. (eds) ICT Innovations 2012. ICT Innovations 2012. Advances in Intelligent Systems and Computing, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37169-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-37169-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37168-4

  • Online ISBN: 978-3-642-37169-1

  • eBook Packages: EngineeringEngineering (R0)

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