Exascale computing and big data

Daniel A. Reed, Jack Dongarra

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Daniel A. Reed and Jack Dongarra state that scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics. Big data machine learning and predictive data analytics have been considered as the fourth paradigm of science, allowing researchers to extract insights from both scientific instruments and computational simulations. A rich ecosystem of hardware and software has emerged for big-data analytics similar to high-performance computing.

    Original languageEnglish
    Pages (from-to)56-68
    Number of pages13
    JournalCommunications of the ACM
    Volume58
    Issue number7
    DOIs
    Publication statusPublished - Jul 2015

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