Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning

Fuente: arXiv
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Auteurs principaux: Iserte, Sergio, Martín-Alvarez, Iker, Rojek, Krzystof, Aliaga, José I., Castillo, Maribel, Peña, Antonio J.
Format: Preprint
Publié: 2026
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author Iserte, Sergio
Martín-Alvarez, Iker
Rojek, Krzystof
Aliaga, José I.
Castillo, Maribel
Peña, Antonio J.
author_facet Iserte, Sergio
Martín-Alvarez, Iker
Rojek, Krzystof
Aliaga, José I.
Castillo, Maribel
Peña, Antonio J.
contents This paper presents an efficient tool for managing dynamic resources in production high-performance computing (HPC) settings, focusing on flexibility, adaptability, and user-friendliness. We introduce a unified dynamic resource management application programming interface (API) that supports a wide range of HPC applications, allowing seamless integration without direct interaction with Dynamic Management of Resources (DMR). The DMR framework, evolved from the DMRlib structure, now supports various dynamic resource managers and includes the Proteo reconfiguration engine to enhance malleability strategies. This integration addresses previous limitations by allowing diverse reconfiguration methods without respawning all processes or lacking RMS support. The paper also showcases the solution's performance and coding productivity with the MPDATA (Multidimensional Positive Definite Advection Transport Algorithm) application. Key contributions include an enhanced modular DMR framework supporting different reconfiguration managers, upgraded DMRlib with the Proteo reconfiguration engine, offering extensive reconfiguration strategies, and a malleable version of the MPDATA solver.
format Preprint
id arxiv_https___arxiv_org_abs_2604_27430
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
Iserte, Sergio
Martín-Alvarez, Iker
Rojek, Krzystof
Aliaga, José I.
Castillo, Maribel
Peña, Antonio J.
Distributed, Parallel, and Cluster Computing
This paper presents an efficient tool for managing dynamic resources in production high-performance computing (HPC) settings, focusing on flexibility, adaptability, and user-friendliness. We introduce a unified dynamic resource management application programming interface (API) that supports a wide range of HPC applications, allowing seamless integration without direct interaction with Dynamic Management of Resources (DMR). The DMR framework, evolved from the DMRlib structure, now supports various dynamic resource managers and includes the Proteo reconfiguration engine to enhance malleability strategies. This integration addresses previous limitations by allowing diverse reconfiguration methods without respawning all processes or lacking RMS support. The paper also showcases the solution's performance and coding productivity with the MPDATA (Multidimensional Positive Definite Advection Transport Algorithm) application. Key contributions include an enhanced modular DMR framework supporting different reconfiguration managers, upgraded DMRlib with the Proteo reconfiguration engine, offering extensive reconfiguration strategies, and a malleable version of the MPDATA solver.
title Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2604.27430