MPI to Go: Container Clusters for MPI Applications
| Autor: | Lucas Roges de Araujo, Andrea Schwertner Charão, Bruno da Silva Alves, Lucas Ferreira da Silva, Luiz Angelo Steffenel |
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| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Laboratório de Sistemas de Computação (LSC), Universidade Federal de Santa Maria (UFSM), CAPES-Cofecub MESO Project, Universidade Federal de Santa Maria = Federal University of Santa Maria [Santa Maria, RS, Brazil] (UFSM) |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Distributed computing High Performance Computing Message Passing Interface Swarm behaviour Cloud computing 02 engineering and technology Virtualization computer.software_genre Supercomputer 020202 computer hardware & architecture Container-based virtualization 020204 information systems Container (abstract data type) Performance evaluation 0202 electrical engineering electronic engineering information engineering MPI Isolation (database systems) [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] business Communications protocol computer |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783030494315 CLOSER (Selected Papers) Cloud Computing and Services Science International Conference on Cloud Computing and Services Science (CLOSER) International Conference on Cloud Computing and Services Science (CLOSER), 2019, Heraklion, Greece. pp.199-222, ⟨10.1007/978-3-030-49432-2_10⟩ |
| DOI: | 10.1007/978-3-030-49432-2_10 |
| Popis: | International audience; Container-based virtualization has been investigated as an attractive solution to achieve isolation, flexibility and efficiency in a wide range of computational applications. In High Performance Computing, many applications rely on clusters to run multiple communicating processes using MPI (Message Passing Interface) communication protocol. Container clusters based on Docker Swarm or Kubernetes may bring benefits to HPC scenarios, but deploying MPI applications over such platforms is a challenging task. In this work, we propose a self-content Docker Swarm platform capable of supporting MPI applications, and validate it though the performance characterization of a meteorological scientific application. |
| Databáze: | OpenAIRE |
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