A survey of high-performance computing scaling challenges

Al Geist, Daniel A. Reed

Research output: Contribution to journalReview articlepeer-review

59 Scopus citations

Abstract

Commodity clusters revolutionized high-performance computing when they first appeared two decades ago. As scale and complexity have grown, new challenges in reliability and systemic resilience, energy efficiency and optimization and software complexity have emerged that suggest the need for re-evaluation of current approaches. This paper reviews the state of the art and reflects on some of the challenges likely to be faced when building trans-petascale computing systems, using insights and perspectives drawn from operational experience and community debates.

Original languageEnglish
Pages (from-to)104-113
Number of pages10
JournalInternational Journal of High Performance Computing Applications
Volume31
Issue number1
DOIs
StatePublished - Jan 1 2017

Funding

FundersFunder number
National Science Foundation1349521

    Keywords

    • Reliability
    • cloud computing
    • data center
    • energy efficiency
    • exascale systems

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