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Toward a General I/O Layer for Parallel-Visualization Applications

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5 Author(s)
Kendall, W. ; Dept. of Electr. Eng. & Comput. Sci, Univ. of Tennessee, Knoxville, TN, USA ; Jian Huang ; Peterka, T. ; Latham, R.
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For large-scale visualization applications, the visualization community urgently needs general solutions for efficient parallel I/O. These parallel visualization solutions should center around design patterns and the related data-partitioning strategies, not file formats. From this respect, it's feasible to greatly alleviate I/O burdens without reinventing the wheel. For example, BIL (Block I/O Layer), which implements such a pattern, has greatly accelerated I/O performance for large-scale parallel particle tracing, a pervasive but challenging use case.

Published in:

Computer Graphics and Applications, IEEE  (Volume:31 ,  Issue: 6 )

Date of Publication:

Nov.-Dec. 2011

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