Literature DB >> 23230157

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

Jeremy Cohen1, Ioannis Filippis, Mark Woodbridge, Daniela Bauer, Neil Chue Hong, Mike Jackson, Sarah Butcher, David Colling, John Darlington, Brian Fuchs, Matt Harvey.   

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.

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Year:  2012        PMID: 23230157     DOI: 10.1098/rsta.2012.0073

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  e-Science-towards the cloud: infrastructures, applications and research.

Authors:  Paul Townend; Jie Xu; Jim Austin
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-10       Impact factor: 4.226

  1 in total

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