Preconditioner-based In Situ Data Reduction for End-to-End Throughput Optimization
<p> Efficient handling of large volumes of data is a necessity for future extreme-scale scientific applications and database systems. To address the growing storage and throughput imbalance between the data production on such systems and their I/O subsystems, reduction of the handled data volu...
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| Language: | EN |
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North Carolina State University
2015
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=3647579 |