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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Bibliographische Detailangaben

Veröffentlicht in:	2011 IEEE Symposium on Large Data Analysis and Visualization S. 65 - 72
Hauptverfasser:	Jinoh Kim, Abbasi, H., Chacon, L., Docan, C., Klasky, S., Qing Liu, Podhorszki, N., Shoshani, A., Kesheng Wu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2011
Schlagworte:	[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-Zugang:	Volltext
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