Configurable synthetic application for studying malleability in HPC
Impact
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
comunitat-uji-handle4:
INVESTIGACIONThis resource is restricted
https://ieeexplore.ieee.org/document/10137315/authors#authors |
Metadata
Title
Configurable synthetic application for studying malleability in HPCDate
2023-06-01Publisher
IEEEBibliographic citation
Martín-Álvarez, Iker, et al. "Configurable synthetic application for studying malleability in HPC." 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 2023.Type
info:eu-repo/semantics/conferenceObjectPublisher version
https://ieeexplore.ieee.org/document/10137315/authors#authorsVersion
info:eu-repo/semantics/publishedVersionSubject
Abstract
Nowadays, the throughput improvement in large clusters of computers recommends the development of malleable applications. Thus, during the execution of these applications in a job, the resource management system (RMS) ... [+]
Nowadays, the throughput improvement in large clusters of computers recommends the development of malleable applications. Thus, during the execution of these applications in a job, the resource management system (RMS) can modify its resource allocation, in order to increase the global throughput. There are different alternatives to complete the different steps in which the reallocation of resources is decomposed. To find the best alternatives, this paper introduces a configurable synthetic iterative MPI malleable application capable of modifying, in execution time, the number of MPI processes according to several parameters. The application includes a performance module to measure stages time within steps, from processes management to data redistribution. In this way, the analysis of different scenarios will allow to conclude how the reconfiguration of application has to be made in different circumstances. At the same time, this tool can be used to create workloads that will allow to analyse the impact of malleability on a system and the work in progress. [-]
Description
Ponència presentada en 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 01-03 March 2023, Naples, Italy
Funder Name
MCIN/AEI/10.13039/501100011033 | Universitat Jaume I | Generalitat Valenciana | European Social Funds
Project code
PID2020-113656RB-C21 | UJI-B2021-58 | APOSTD/2020/026 | ACIF/2021/260
Rights
Copyright © 2023, IEEE
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess