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...
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 12(2006), 5 vom: 11. Sept., Seite 1245-50 |
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| Format: | Article |
| Langue: | English |
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2006
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| Accès à la collection: | IEEE transactions on visualization and computer graphics |
| Sujets: | Journal Article |