Performance analysis of HPC applications in the cloud
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http://hdl.handle.net/2183/20874
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- GI-GAC - Artigos [193]
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Performance analysis of HPC applications in the cloudAutor(es)
Data
2013-01Cita bibliográfica
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.
Resumo
[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.
Palabras chave
Cloud computing
High performance computing
Amazon EC2 cluster compute platform
MPI
OpenMP
High performance computing
Amazon EC2 cluster compute platform
MPI
OpenMP
Versión do editor
Dereitos
Atribución-NoComercial-SinDerivadas 3.0 España
ISSN
0167-739X
1872-7115
1872-7115