Fast and Efficient Compression of Floating-Point Data

Large scale scientific simulation codes typically run on a cluster of CPUs that write/read time steps to/from a single file system. As data sets are constantly growing in size, this increasingly leads to I/O bottlenecks. When the rate at which data is produced exceeds the available I/O bandwidth, th...

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Bibliographic Details
Published in:	IEEE transactions on visualization and computer graphics Vol. 12; no. 5; pp. 1245 - 1250
Main Authors:	Lindstrom, P., Isenburg, M.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2006 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Analytical models Bandwidth Central processing units Compressing Computer simulation Data compression Data visualization Entropy fast entropy coding file compaction for I/O efficiency File systems Floating point arithmetic High throughput Image coding Integers large scale simulation and visualization Large-scale systems lossless compression predictive coding Predictive models range coder Studies Throughput Visualization
ISSN:	1077-2626, 1941-0506
Online Access:	Get full text
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