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

Authors:
Wesley Kendall;Jian Huang;Tom Peterka;Robert Latham;Robert Ross
Affiliations:
University of Tennessee, Knoxville;University of Tennessee, Knoxville;Argonne National Laboratory;Argonne National Laboratory;Argonne National Laboratory
Venue:
IEEE Computer Graphics and Applications
Year:
2011

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Abstract

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.