Efficient I/O of grid hierarchies for AMR computations on parallel disks

S. Kuo*, M. Winslett, Y. Chen, Y. Cho

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

Abstract

Adaptive mesh refinement (AMR) is a promising computational approach that investigates a scientific problem using grids of different resolutions in different portions of the problem space. This allows the more `interesting' areas of the problem space to be investigated in more detail than other areas. In this paper, we present efficient ways for AMR-type applications to do input/output on the IBM SP2. We propose a disk layout that minimizes I/O costs for checkpoint/restart operations and investigate several allocation approaches to decluster grid data to multiple disks to enhance I/O parallelism for time step/visualization operations. The experiments on the SP2 show that our strategies can help to shorten the I/O time to meet the performance requirements of the two types of I/O operations.

Original languageEnglish
Pages12-21
Number of pages10
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 10th International Conference on Scientific and Statistical Database Management - Capri, Italy
Duration: 01 07 199803 07 1998

Conference

ConferenceProceedings of the 1998 10th International Conference on Scientific and Statistical Database Management
CityCapri, Italy
Period01/07/9803/07/98

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