Implementation and Evaluation of File Write-Back and Prefetching for MPI-IO Over GPFS

Author:

Garcia Blas Javier1,Isaila Florin2,Carretero Jesus2,Singh David2,Garcia-Carballeira Felix2

Affiliation:

1. UNIVERSITY CARLOS OF MADRID, AVDA DE LA UNIVERSIDAD 30, LEGANES 28911, SPAIN,

2. UNIVERSITY CARLOS OF MADRID, AVDA DE LA UNIVERSIDAD 30, LEGANES 28911, SPAIN

Abstract

In this paper we present the implementation of an open-source MPI-IO interface for the General Parallel File System (GPFS). Our solution includes the design and implementation of GPFS-based write-back and prefetching modules, which have been integrated in ROMIO. A collective file write strategy based on GPFS data-shipping, and a view-based collective I/O mechanism, relying on GPFS mechanisms, are at the core of the novel optimizations proposed in this paper. View-based collective I/O includes a thread-based flushing method implementing a write-back policy for latency hiding, and a prefetching method, based on GPFS hints, to increase small read access performance. Performance evaluations show that our implementation achieves high-performance and hides the latency of file accesses through the combination of view-based collective file accesses, and the overlapping of computation, communication and I/O. This is especially true for collective and small-size access patterns, which are very frequent in parallel scientific applications.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extreme-scale computing services over MPI: Experiences, observations and features proposal for next-generation message passing interface;The International Journal of High Performance Computing Applications;2014-09-10

2. Multithreaded Two-Phase I/O: Improving Collective MPI-IO Performance on a Lustre File System;2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing;2014-02

3. Improving Parallel I/O Performance Using Multithreaded Two-Phase I/O with Processor Affinity Management;Parallel Processing and Applied Mathematics;2014

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