A Scalable Message Passing Interface Implementation of an Ad-Hoc Parallel I/o system

Author:

Isaila Florin1,Garcia Blas Francisco Javier2,Carretero Jesús3,Liao Wei-keng4,Choudhary Alok4

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

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

4. NORTHWESTERN UNIVERSITY, EVANSTON, IL, USA

Abstract

In this paper we present the novel design, implementation, and evaluation of an ad-hoc parallel I/O system (AHPIOS). AHPIOS is the first scalable parallel I/O system completely implemented in the Message Passing Interface (MPI). The MPI implementation brings the advantages of portability, scalability and high performance. AHPIOS allows MPI applications to dynamically manage and scale distributed partitions in a convenient way. The configuration of both the MPI-IO and the storage management system is unified and allows for a tight integration of the optimizations of these layers. AHPIOS partitions are elastic: they conveniently scale up and down with the number of resources. We develop two collective I/O strategies, which leverage a two-tiered cooperative cache in order to exploit the spatial locality of data-intensive parallel applications. The file access latency is hidden from the applications through an asynchronous data staging strategy. The two-tiered cooperative cache scales with both the number of processors and storage resources. Our experimental section demonstrates that, with various optimizations, integrated AHPIOS offers a substantial performance benefit over the traditional MPI-IO solutions on both PVFS or Lustre parallel file systems.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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2. Mapping and scheduling HPC applications for optimizing I/O;Proceedings of the 34th ACM International Conference on Supercomputing;2020-06-29

3. Combining malleability and I/O control mechanisms to enhance the execution of multiple applications;Journal of Systems and Software;2019-02

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5. Experimental evaluation of a flexible I/O architecture for accelerating workflow engines in ultrascale environments;Parallel Computing;2017-01

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