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

Jeremy Cohen1, Ioannis Filippis, Mark Woodbridge

  • 1Department of Computing, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. jeremy.cohen@imperial.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 12, 2012
PubMed
Summary
This summary is machine-generated.

Cloud computing can effectively run scientific high-performance computing (HPC) software in bioinformatics and high-energy physics. Researchers can benefit from cloud flexibility, with no fundamental impediments to adoption.

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Area of Science:

  • Cloud Computing
  • Scientific Computing
  • Bioinformatics
  • High-Energy Physics (HEP)

Background:

  • Cloud computing adoption in research computing, especially for scientific high-performance computing (HPC) software, has been limited.
  • The Robust Application Porting for HPC in the Cloud (RAPPORT) project aimed to bridge this gap.

Purpose of the Study:

  • To investigate the feasibility of running scientific HPC applications on cloud infrastructure.
  • To focus on the bioinformatics and high-energy physics (HEP) domains.

Main Methods:

  • Porting and evaluating scientific HPC applications from bioinformatics and HEP domains on cloud platforms.
  • Analyzing the performance and challenges of cloud-based HPC execution.

Main Results:

  • Identified specific applications and target cloud platforms for bioinformatics and HEP.
  • Demonstrated that there are no fundamental impediments to using cloud infrastructure for many HPC applications.

Conclusions:

  • Cloud computing offers a viable and potentially beneficial platform for scientific HPC.
  • Researchers can leverage the flexibility of cloud platforms for their computational needs in domains like bioinformatics and HEP.