Topology-Aware Strategy for MPI-IO Operations in Clusters
Joint Authors
Guo, Meng
Liu, Weifeng
Zhou, Jie
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper presents the topology-aware two-phase I/O (TATP), which optimizes the most popular collective MPI-IO implementation of ROMIO.
In order to improve the hop-bytes metric during the file access, topology-aware two-phase I/O employs the Linear Assignment Problem (LAP) for finding an optimal assignment of file domain to aggregators, an aspect which is not considered in most two-phase I/O implementations.
The distribution is based on the local data stored by each process, and its main purpose is to reduce the total hop-bytes of the I/O collective operation.
Therefore, the global execution time can be improved.
In most of the considered scenarios, topology-aware two-phase I/O obtains important improvements when compared with the original two-phase I/O implementations.
American Psychological Association (APA)
Liu, Weifeng& Zhou, Jie& Guo, Meng. 2018. Topology-Aware Strategy for MPI-IO Operations in Clusters. Journal of Optimization،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1197238
Modern Language Association (MLA)
Liu, Weifeng…[et al.]. Topology-Aware Strategy for MPI-IO Operations in Clusters. Journal of Optimization No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1197238
American Medical Association (AMA)
Liu, Weifeng& Zhou, Jie& Guo, Meng. Topology-Aware Strategy for MPI-IO Operations in Clusters. Journal of Optimization. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1197238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197238