Enhancing the performance of malleable MPI applications by using performance-aware dynamic reconfiguration
The work in this paper focuses on providing malleability to MPI applications by using a novel performance-aware dynamic reconfiguration technique. This paper describes the design and implementation of Flex-MPI, an MPI library extension which can automatically monitor and predict the performance of a...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/86919 |
| Acceso en línea: | https://hdl.handle.net/2117/86919 https://dx.doi.org/10.1016/j.parco.2015.04.003 |
| Access Level: | acceso abierto |
| Palabra clave: | Distributed computing Distributed systems Malleable MPI applications Performance-aware dynamic Reconfiguration Computational prediction model High performance computing Computació distribuïda Àrees temàtiques de la UPC::Enginyeria electrònica |
| Sumario: | The work in this paper focuses on providing malleability to MPI applications by using a novel performance-aware dynamic reconfiguration technique. This paper describes the design and implementation of Flex-MPI, an MPI library extension which can automatically monitor and predict the performance of applications, balance and redistribute the workload, and reconfigure the application at runtime by changing the number of processes. Unlike existent approaches, our reconfiguring policy is guided by user-defined performance criteria. We focus on iterative SPMD programs, a class of applications with critical mass within the scientific community. Extensive experiments show that Flex-MPI can improve the performance, parallel efficiency, and cost-efficiency of MPI programs with a minimal effort from the programmer. |
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