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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianwei Li Wei-keng Liao Choudhary, A. Taylor, V. |
| Copyright Year | 2002 |
| Description | Author affiliation: ECE Dept., Northwestern Univ., Evanston, IL, USA (Jianwei Li; Wei-keng Liao; Choudhary, A.; Taylor, V.) |
| Abstract | In this paper we investigate the data access patterns and file I/O behaviors of a production cosmology application that uses the adaptive mesh refinement (AMR) technique for its domain decomposition. This application was originally developed using Hierarchical Data Format (HDF version 4) I/O library and since HDF4 does not provide parallel I/O facilities, the global file I/O operations were carried out by one of the allocated processors. When the number of processors becomes large, the I/O performance of this design degrades significantly due to the high communication cost and sequential file access. In this work, we present two additional I/O implementations, using MPI-IO and parallel HDF version 5, and analyze their impacts to the I/O performance for this typical AMR application. Based on the I/O patterns discovered in this application, we also discuss the interaction between user level parallel I/O operations and different parallel file systems and point out the advantages and disadvantages. The performance results presented in this work are obtained from an SGI Origin2000 using XFS, an IBM SP using GPFS, and a Linux cluster using PVFS. |
| Sponsorship | IEEE Comput. Soc. Task Force on Cluster Comput. (TFCC) |
| Starting Page | 119 |
| Ending Page | 126 |
| File Size | 378837 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769520669 |
| DOI | 10.1109/CLUSTR.2002.1137736 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-09-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive mesh refinement Libraries File systems Parallel processing Production Computational modeling Concurrent computing Degradation Costs Linux |
| Content Type | Text |
| Resource Type | Article |
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