AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation

Computational fluid dynamics (CFD) simulation often needs to periodically output intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. In this paper, we present asynchronous pipeline I/O (AP-IO) optimization scheme for the perio...

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Main Authors: Ren Xiaoguang, Xu Xinhai
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/273807
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spelling doaj-47548650da9845f1853c5d63773eb30a2020-11-25T02:19:11ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/273807273807AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD SimulationRen Xiaoguang0Xu Xinhai1State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan 410073, ChinaState Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan 410073, ChinaComputational fluid dynamics (CFD) simulation often needs to periodically output intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. In this paper, we present asynchronous pipeline I/O (AP-IO) optimization scheme for the periodically snapshot output on the basis of asynchronous I/O and CFD application characteristics. In AP-IO, dedicated background I/O processes or threads are in charge of handling the file write in pipeline mode, therefore the write overhead can be hidden with more calculation than classic asynchronous I/O. We design the framework of AP-IO and implement it in OpenFOAM, providing CFD users with a user-friendly interface. Experimental results on the Tianhe-2 supercomputer demonstrate that AP-IO can achieve a good optimization effect for the periodical snapshot output in CFD application, and the effect is especially better for massively parallel CFD simulations, which can reduce the total execution time up to about 40%.http://dx.doi.org/10.1155/2014/273807
collection DOAJ
language English
format Article
sources DOAJ
author Ren Xiaoguang
Xu Xinhai
spellingShingle Ren Xiaoguang
Xu Xinhai
AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
The Scientific World Journal
author_facet Ren Xiaoguang
Xu Xinhai
author_sort Ren Xiaoguang
title AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
title_short AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
title_full AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
title_fullStr AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
title_full_unstemmed AP-IO: Asynchronous Pipeline I/O for Hiding Periodic Output Cost in CFD Simulation
title_sort ap-io: asynchronous pipeline i/o for hiding periodic output cost in cfd simulation
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description Computational fluid dynamics (CFD) simulation often needs to periodically output intermediate results to files in the form of snapshots for visualization or restart, which seriously impacts the performance. In this paper, we present asynchronous pipeline I/O (AP-IO) optimization scheme for the periodically snapshot output on the basis of asynchronous I/O and CFD application characteristics. In AP-IO, dedicated background I/O processes or threads are in charge of handling the file write in pipeline mode, therefore the write overhead can be hidden with more calculation than classic asynchronous I/O. We design the framework of AP-IO and implement it in OpenFOAM, providing CFD users with a user-friendly interface. Experimental results on the Tianhe-2 supercomputer demonstrate that AP-IO can achieve a good optimization effect for the periodical snapshot output in CFD application, and the effect is especially better for massively parallel CFD simulations, which can reduce the total execution time up to about 40%.
url http://dx.doi.org/10.1155/2014/273807
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AT xuxinhai apioasynchronouspipelineioforhidingperiodicoutputcostincfdsimulation
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