Integrating parallel file I/O and database support for high-performance scientific data management

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Many scientific applications have large I/O requirements, in terms of both the size of data and the number of files or data sets. Management, storage, efficient access, and analysis of this data present an extremely challenging task. Traditionally, two different solutions are used for this problem: file I/O or databases. File I/O can provide high performance but is tedious to use with large numbers of files and large and complex data sets. Databases can be convenient, exible, and powerful but do not perform and scale well for parallel supercomputing applications. The authors have developed a software system, called Scientific Data ... continued below

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12 pages

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No, J.; Thakur, R. & Choudhary, A. April 3, 2000.

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Many scientific applications have large I/O requirements, in terms of both the size of data and the number of files or data sets. Management, storage, efficient access, and analysis of this data present an extremely challenging task. Traditionally, two different solutions are used for this problem: file I/O or databases. File I/O can provide high performance but is tedious to use with large numbers of files and large and complex data sets. Databases can be convenient, exible, and powerful but do not perform and scale well for parallel supercomputing applications. The authors have developed a software system, called Scientific Data Manager (SDM), that combines the good features of both file I/O and databases. SDM provides a thin layer of database-like functionality on top of a high-performance, parallel file-I/O interface (MPI-IO). As a result, users can access data with the convenience of databases and the performance of MPI-IO, without having to bother with the details of either. In t his paper, they describe the design and implementation of SDM. With the help of two parallel application templates, ASTRO3D and an Euler solver, they illustrate how some of the design criteria affect performance.

Physical Description

12 pages

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  • 9th IEEE International Symposium on High Performance Distributed Computing (HPDC-9), Pittsburgh, PA (US), 08/01/2000--08/04/2000; Other Information: PBD: 3 Apr 2000; PBD: 3 Apr 2000

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  • Report No.: ANL/MCS/CP-101504
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 764221
  • Archival Resource Key: ark:/67531/metadc723513

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • April 3, 2000

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  • Sept. 29, 2015, 5:31 a.m.

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  • March 25, 2016, 11:57 a.m.

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No, J.; Thakur, R. & Choudhary, A. Integrating parallel file I/O and database support for high-performance scientific data management, article, April 3, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc723513/: accessed November 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.