Parallel in situ indexing for data-intensive computing

As computing power increases exponentially, vast amount of data is created by many scientific research activities. However, the bandwidth for storing the data to disks and reading the data from disks has been improving at a much slower pace. These two trends produce an ever-widening data access gap....

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Bibliographic Details

Published in:	2011 IEEE Symposium on Large Data Analysis and Visualization pp. 65 - 72
Main Authors:	Jinoh Kim, Abbasi, H., Chacon, L., Docan, C., Klasky, S., Qing Liu, Podhorszki, N., Shoshani, A., Kesheng Wu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2011
Subjects:	[D.4.2]: Storage Management Buildings Computational modeling D.4.2 [Storage Management]: Access methods Data models Data processing H.3.3 [Information Search and Retrieval] Indexing Parallel processing
ISBN:	9781467301565, 1467301566
Online Access:	Get full text
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