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

被引：18

作者：

Kendall, Wesley ^{[1
]}

Huang, Jian ^{[2
]}

Peterka, Tom ^{[3
]}

Latham, Robert ^{[3
]}

Ross, Robert ^{[3
]}

机构：

[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA

[2] Univ Tennessee, Seelab, Knoxville, TN USA

[3] Argonne Natl Lab, Argonne, IL 60439 USA

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2011年 / 31卷 / 06期

关键词：

BIL; computer graphics; parallel file systems; parallel I/O; parallel visualization; particle tracing;

D O I：

10.1109/MCG.2011.102

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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. © 2006 IEEE.

引用

页码：6 / 10

页数：5

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