A Survey on Malleability Solutions for High-Performance Distributed Computing
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INVESTIGACIONMetadades
Títol
A Survey on Malleability Solutions for High-Performance Distributed ComputingAutoria
Data de publicació
2022-05-22Editor
MDPIISSN
2076-3417Cita bibliogràfica
Aliaga, J.I.; Castillo, M.; Iserte, S.; Martín-Álvarez, I.; Mayo, R. A Survey on Malleability Solutions for High-Performance Distributed Computing. Appl. Sci. 2022, 12, 5231. https://doi.org/10.3390/app12105231Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.mdpi.com/2076-3417/12/10/5231/htmVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Maintaining a high rate of productivity, in terms of completed jobs per unit of time, in High-Performance Computing (HPC) facilities is a cornerstone in the next generation of exascale supercomputers. Process mallea ... [+]
Maintaining a high rate of productivity, in terms of completed jobs per unit of time, in High-Performance Computing (HPC) facilities is a cornerstone in the next generation of exascale supercomputers. Process malleability is presented as a straightforward mechanism to address that issue. Nowadays, the vast majority of HPC facilities are intended for distributed-memory applications based on the Message Passing (MP) paradigm. For this reason, many efforts are based on the Message Passing Interface (MPI), the de facto standard programming model. Malleability aims to rescale executions on-the-fly, in other words, reconfigure the number and layout of processes in running applications. Process malleability involves resources reallocation within the HPC system, handling processes of the application, and redistributing data among those processes to resume the execution. This manuscript compiles how different frameworks address process malleability, their main features, their integration in resource management systems, and how they may be used in user codes. This paper is a detailed state-of-the-art devised as an entry point for researchers who are interested in process malleability [-]
Publicat a
Applied Sciences, 2022, vol. 12, no 10Entitat finançadora
Ministerio de Ciencia, Innovación y Universidades | Universitat Jaume I | Generalitat Valenciana
Identificador de l'entitat finançadora
http://dx.doi.org/10.13039/501100011033
Codi del projecte o subvenció
MICIU/ICTI2017-2020/PID2020-113656RB-C21 | UJI-B2019-36 | ACIF/2021/260 | APOSTD/2020/026
Títol del projecte o subvenció
Computación y Comunicaciones de Altas Prestaciones Consciente del Consumo Energético. Aplicaciones al Aprendizaje Profundo Computacional-UJI
Drets d'accés
info:eu-repo/semantics/openAccess
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