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Performance analysis of HPC applications in the cloud
dc.contributor.author | Expósito, Roberto R. | |
dc.contributor.author | Taboada, Guillermo L. | |
dc.contributor.author | Ramos Garea, Sabela | |
dc.contributor.author | Touriño, Juan | |
dc.contributor.author | Doallo, Ramón | |
dc.date.accessioned | 2018-07-06T15:49:47Z | |
dc.date.available | 2018-07-06T15:49:47Z | |
dc.date.issued | 2013-01 | |
dc.identifier.citation | Expósito, R. R., Taboada, G. L., Ramos, S., Touriño, J., & Doallo, R. (2013). Performance analysis of HPC applications in the cloud. Future Generation Computer Systems, 29(1), 218-229. | es_ES |
dc.identifier.issn | 0167-739X | |
dc.identifier.issn | 1872-7115 | |
dc.identifier.uri | http://hdl.handle.net/2183/20874 | |
dc.description.abstract | [Abstract] The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers are more focused on deploying systems with higher computational power interconnected via high-speed networks rather than improving the scalability of the communication middleware. This paper analyzes the main performance bottlenecks in HPC application scalability on the Amazon EC2 Cluster Compute platform: (1) evaluating the communication performance on shared memory and a virtualized 10 Gigabit Ethernet network; (2) assessing the scalability of representative HPC codes, the NAS Parallel Benchmarks, using an important number of cores, up to 512; (3) analyzing the new cluster instances (CC2), both in terms of single instance performance, scalability and cost-efficiency of its use; (4) suggesting techniques for reducing the impact of the virtualization overhead in the scalability of communication-intensive HPC codes, such as the direct access of the Virtual Machine to the network and reducing the number of processes per instance; and (5) proposing the combination of message-passing with multithreading as the most scalable and cost-effective option for running HPC applications on the Amazon EC2 Cluster Compute platform. | es_ES |
dc.description.sponsorship | Ministerio de Ciencia e Innovación; TIN2010-16735 | es_ES |
dc.description.sponsorship | Ministerio de Economía y Competitividad; AP2010-4348. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier BV * North-Holland | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.future.2012.06.009 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Cloud computing | es_ES |
dc.subject | High performance computing | es_ES |
dc.subject | Amazon EC2 cluster compute platform | es_ES |
dc.subject | MPI | es_ES |
dc.subject | OpenMP | es_ES |
dc.title | Performance analysis of HPC applications in the cloud | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Future Generation Computer Systems | es_ES |
UDC.volume | 29 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 218 | es_ES |
UDC.endPage | 229 | es_ES |
dc.identifier.doi | 10.1016/j.future.2012.06.009 |
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