DMRlib: Easy-coding and Efficient Resource Management for Job Malleability
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Títol
DMRlib: Easy-coding and Efficient Resource Management for Job MalleabilityData de publicació
2020-09-09Editor
IEEEISSN
0018-9340Cita bibliogràfica
ISERTE, Sergio, et al. DMRlib: Easy-coding and Efficient Resource Management for Job Malleability. IEEE Transactions on Computers, 2020.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://ieeexplore.ieee.org/document/9190024Versió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
Resum
Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the ... [+]
Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible additional development effort this solution imposes has constrained its adoption by the scientific programming community. In this work, we present DMRlib, a library designed to offer the global advantages of process malleability while providing a minimalist MPI-like syntax. The library includes a series of predefined communication patterns that greatly ease the development of malleable applications. In addition, we deploy several scenarios to demonstrate the positive impact of process malleability featuring different scalability patterns. Concretely, we study two job submission modes (rigid and moldable) in order to identify the best-case scenarios for malleability using metrics such as resource allocation rate, completed jobs per second, and energy consumption. The experiments prove that our elastic approach may improve global throughput by a factor higher than 3x compared to the traditional workloads of non-malleable jobs. [-]
Proyecto de investigación
TIN2014-53495-R; MINECO/TIN2015-65316-P; FEDER/TIN2017-82972-R; Horizon 2020 No. 749516; APOSTD/2020/026Drets d'accés
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servers or lists, or reuse of any copyrighted component of this work in other works.” DOI: 10.1109/TC.2020.3022933
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