First impressions from detailed brain model simulations on a xeon/xeon-phi node

George Chatzikonstantis, Dimitrios Rodopoulos, Sofia Nomikou, Christos Strydis, Chris I. De Zeeuw, Dimitrios Soudris

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Abstract

    The development of physiologically plausible neuron models comes with increased complexity, which poses a challenge for many-core computing. In this work, we have chosen an extension of the demanding Hodgkin-Huxley model for the neurons of the Inferior Olivary Nucleus, an area of vital im-portance for motor skills. The computing fabric of choice is an Intel Xeon-Xeon Phi system, widely-used in modern computing infrastructure. The target application is paral-lelized with combinations of MPI and OpenMP. The best configurations are scaled up to human InfOli numbers.

    Original languageEnglish
    Title of host publication2016 ACM International Conference on Computing Frontiers - Proceedings
    PublisherAssociation for Computing Machinery (ACM)
    Pages361-364
    Number of pages4
    ISBN (Electronic)9781450341288
    DOIs
    Publication statusPublished - 16 May 2016
    EventACM International Conference on Computing Frontiers, CF 2016 - Como, Italy
    Duration: 16 May 201618 May 2016

    Publication series

    Name2016 ACM International Conference on Computing Frontiers - Proceedings

    Conference

    ConferenceACM International Conference on Computing Frontiers, CF 2016
    Country/TerritoryItaly
    CityComo
    Period16/05/1618/05/16

    Keywords

    • MPI
    • Neuron Modeling
    • OpenMP
    • Performance

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