Imperial College London

DrJeremyCohen

Faculty of EngineeringDepartment of Computing

Advanced Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 8380jeremy.cohen Website

 
 
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Location

 

E359ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cohen:2013:10.1098/rsta.2012.0073,
author = {Cohen, J and Filippis, I and Woodbridge, M and Bauer, D and Hong, NC and Jackson, M and Butcher, S and Colling, D and Darlington, J and Fuchs, B and Harvey, M},
doi = {10.1098/rsta.2012.0073},
journal = {Philos Transact A Math Phys Eng Sci},
title = {RAPPORT: running scientific high-performance computing applications on the cloud},
url = {http://dx.doi.org/10.1098/rsta.2012.0073},
volume = {371},
year = {2013}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Cohen,J
AU - Filippis,I
AU - Woodbridge,M
AU - Bauer,D
AU - Hong,NC
AU - Jackson,M
AU - Butcher,S
AU - Colling,D
AU - Darlington,J
AU - Fuchs,B
AU - Harvey,M
DO - 10.1098/rsta.2012.0073
PY - 2013///
SN - 1364-503X
TI - RAPPORT: running scientific high-performance computing applications on the cloud
T2 - Philos Transact A Math Phys Eng Sci
UR - http://dx.doi.org/10.1098/rsta.2012.0073
UR - http://www.ncbi.nlm.nih.gov/pubmed/23230157
VL - 371
ER -