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RAPPORT: running scientific high-performance computing applications on the cloud
by
Chue Hong, Neil
, Jackson, Mike
, Cohen, Jeremy
, Bauer, Daniela
, Colling, David
, Woodbridge, Mark
, Harvey, Matt
, Fuchs, Brian
, Butcher, Sarah
, Filippis, Ioannis
, Darlington, John
in
Algorithms
/ Bioinformatics
/ Cloud Computing
/ Computer software
/ Computing Methodologies
/ Data-Intensive Research
/ Datasets
/ Energy resources
/ Genomes
/ High-Performance Computing
/ Infrastructure As A Service
/ Internet
/ Phylogenetics
/ Random access memory
/ Rapport
/ Science - methods
/ Sequencing
/ Software
2013
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RAPPORT: running scientific high-performance computing applications on the cloud
by
Chue Hong, Neil
, Jackson, Mike
, Cohen, Jeremy
, Bauer, Daniela
, Colling, David
, Woodbridge, Mark
, Harvey, Matt
, Fuchs, Brian
, Butcher, Sarah
, Filippis, Ioannis
, Darlington, John
in
Algorithms
/ Bioinformatics
/ Cloud Computing
/ Computer software
/ Computing Methodologies
/ Data-Intensive Research
/ Datasets
/ Energy resources
/ Genomes
/ High-Performance Computing
/ Infrastructure As A Service
/ Internet
/ Phylogenetics
/ Random access memory
/ Rapport
/ Science - methods
/ Sequencing
/ Software
2013
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Do you wish to request the book?
RAPPORT: running scientific high-performance computing applications on the cloud
by
Chue Hong, Neil
, Jackson, Mike
, Cohen, Jeremy
, Bauer, Daniela
, Colling, David
, Woodbridge, Mark
, Harvey, Matt
, Fuchs, Brian
, Butcher, Sarah
, Filippis, Ioannis
, Darlington, John
in
Algorithms
/ Bioinformatics
/ Cloud Computing
/ Computer software
/ Computing Methodologies
/ Data-Intensive Research
/ Datasets
/ Energy resources
/ Genomes
/ High-Performance Computing
/ Infrastructure As A Service
/ Internet
/ Phylogenetics
/ Random access memory
/ Rapport
/ Science - methods
/ Sequencing
/ Software
2013
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RAPPORT: running scientific high-performance computing applications on the cloud
Journal Article
RAPPORT: running scientific high-performance computing applications on the cloud
2013
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Overview
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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