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Article . 2025
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Redimensionamiento Dinámico de Aplicaciones Maleables mediante RMA

Authors: Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Maribel, Castillo Catalán;

Redimensionamiento Dinámico de Aplicaciones Maleables mediante RMA

Abstract

La redimensión dinámica de aplicaciones maleables en computación de altas prestaciones necesita mecanismos eficientes de redistribución de datos que le permita adaptarse a los cambios en el número de procesos, minimizando al mismo tiempo la sobrecarga de ejecución y el tiempo de redimensión. Este trabajo explora nuevos métodos de comunicación unilateral basados en operaciones de Acceso Remoto a Memoria (RMA) en MPI, permitiendo a los procesos recuperar datos sin la participación explícita de los procesos origen. Además, se introduce la estrategia Wait Targets, que permite reconfiguraciones eficientes en segundo plano con RMA, buscando minimizar su impacto en la ejecución de la aplicación.Estos métodos se han integrado en MaM, una biblioteca para redimensionar aplicaciones en tiempo de ejecución, para compararlos con la redistribución tradicional basada en operaciones colectivas. La evaluación experimental muestra que, a pesar de su reducido impacto en las iteraciones en curso, los métodos unilaterales obtienen prestaciones similares a las operaciones colectivas pero nunca les superan, debido a sus elevados costes de inicialización. Si este sobrecoste fuese reducido, los enfoques unilaterales podrían convertirse en una alternativa competitiva, permitiendo reconfiguraciones eficientes en segundo plano sin impactar computacionalmente a la aplicación.

Related Organizations
Keywords

Maleabilidad, Recursos Dinámicos, HPC, MPI, RMA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green