RAPPORT: running scientific high-performance computing applications on the cloud

Jeremy Cohen, Ioannis Filippis, Mark Woodbridge, Daniela Bauer, Neil Chue Hong, Michael Jackson, Sarah Butcher, David Colling, John Darlington, Brian Fuchs, Matt Harvey

Research output: Contribution to journalArticlepeer-review

Abstract

Cloud computing infrastructure is now widely used in many domains, but one area where there has been more limited adoption is research computing, in particular for running scientific high-performance computing (HPC) software. The Robust Application Porting for HPC in the Cloud (RAPPORT) project took advantage of existing links between computing researchers and application scientists in the fields of bioinformatics, high-energy physics (HEP) and digital humanities, to investigate running a set of scientific HPC applications from these domains on cloud infrastructure. In this paper, we focus on the bioinformatics and HEP domains, describing the applications and target cloud platforms. We conclude that, while there are many factors that need consideration, there is no fundamental impediment to the use of cloud infrastructure for running many types of HPC applications and, in some cases, there is potential for researchers to benefit significantly from the flexibility offered by cloud platforms.

Original languageEnglish
Article number20120073
Pages (from-to)-
Number of pages15
JournalPhilosophical Transactions A: Mathematical, Physical and Engineering Sciences
Volume371
Issue number1983
DOIs
Publication statusPublished - 28 Jan 2013

Keywords

  • cloud computing
  • high-performance computing
  • data-intensive research
  • infrastructure as a service

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