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

Author

Kendall, W. ; Jian Huang ; Peterka, T. ; Latham, R. ; Ross, R.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci, Univ. of Tennessee, Knoxville, TN, USA

Volume

31

Issue

6

fYear

2011

Firstpage

6

Lastpage

10

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.

Keywords

data visualisation; file organisation; object-oriented methods; parallel processing; data-partitioning strategy; design pattern; general I/O layer; parallel file systems; parallel-visualization application; Data visualization; Input variables; Large-scale systems; Parallel processing; Particle tracking; Pattern classification; BIL; computer graphics; parallel I/O; parallel file systems; parallel visualization; particle tracing;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/MCG.2011.102

Filename

6056509