Topology-Aware Strategy for MPI-IO Operations in Clusters

Joint Authors

Guo, Meng
Liu, Weifeng
Zhou, Jie

Source

Journal of Optimization

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

Mathematics

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