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

被引：3

作者：

Cohen, Jeremy ^{[1
]}

Filippis, Ioannis ^{[2
]}

Woodbridge, Mark ^{[2
]}

Bauer, Daniela ^{[3
]}

Hong, Neil Chue ^{[5
]}

Jackson, Mike ^{[5
]}

Butcher, Sarah ^{[2
]}

Colling, David ^{[3
]}

Darlington, John ^{[1
]}

Fuchs, Brian ^{[1
]}

Harvey, Matt ^{[4
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England

[2] Univ London Imperial Coll Sci Technol & Med, Bioinformat Support Serv, CISBIO, London SW7 2AZ, England

[3] Univ London Imperial Coll Sci Technol & Med, Dept Phys, London SW7 2AZ, England

[4] Univ London Imperial Coll Sci Technol & Med, Imperial Coll HPC Serv, London SW7 2AZ, England

[5] Univ Edinburgh, Software Sustainabil Inst, Edinburgh EH9 3JZ, Midlothian, Scotland

来源：

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2013年 / 371卷 / 1983期

基金：

英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;

关键词：

cloud computing; high-performance computing; data-intensive research; infrastructure as a service; INFERENCE; MRBAYES; TOOL;

D O I：

10.1098/rsta.2012.0073

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：15

共 47 条

[11] CERN, 2012, WORLDW LHC COMP GRID
[12] CERN, 2012, CMS EXP
[13] Chue Hong N, 2018, BEST PRACTICE USING
[14] CMSPublic Web, 2011, CMSSW APPL FRAM
[15] Cohen J, 2011, RAPPORT PORTING APPL
[16] Cohen J, 2011, JISC UNPUB NOV
[17] Eucalyptus, 2011, EUC COMM
[18] Engineering a software tool for gene structure prediction in higher organisms
Gremme, G
Brendel, V
Sparks, ME
Kurtz, S
[J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2005, 47 (15) : 965 - 978
[19] Gremme G., 2011, GENOMETOOLS
[20] Gremme G., 2011, GENOMETHREADER FREQU

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