Jaechun No, Rajeev Thakur, Alok Choudhary  Home/Search
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Abstract: 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, flexible, and powerful ... (Update)
Context of citations to this paper: More
...not on I O. We have developed a software system for large scale scientific data management, called Scientific Data Manager (SDM) [23], that combines the good features of both file I O and databases. SDM provides a high level, user friendly interface. Internally, SDM...
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BibTeX entry: (Update)
J. No, R. Thakur, and A. Choudhary. Integrating Parallel File I/O and Database Support for High-Performance Scientific Data Management. In Proc. of SC http://citeseer.ist.psu.edu/article/no00integrating.html More
@inproceedings{ no00integrating,
author = "Jaechun No and Rajeev Thakur and Alok Choudhary",
title = "Integrating Parallel File {I/O} and Database Support for High-Performance Scientific Data Management",
booktitle = "Proceedings of SC2000: High Performance Networking and Computing",
publisher = "IEEE Computer Society Press",
address = "Dallas, TX",
year = "2000",
url = "citeseer.ist.psu.edu/article/no00integrating.html" }
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