By Topic

Mesh Data Management in Large-Scale Scientific Computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hong Chen ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing ; Winmin Zheng

In many research fields of numerical simulations, programs often produce a large amount of mesh data with complex structure. It is a fatal bottleneck for scientists to manage such large-scale simulation data. In allusion to typical data characteristics of multi-dimension and multi-variables numerical simulation programs, the relativity between time and space, and practical problems of data exchange and sharing, this paper brings forward a hierarchical data model to organize mesh data. We use meta-data to efficiently organize and manage mesh data, and have developed a unified interface for high-level data access, supporting scientific computing, visualization and other data analysis tools to store mesh data with a unified method. Meanwhile, we have completed a scientific data management system where users can browse and search meta-data on Web pages. In addition, users can browse and analyze remote distributed mesh data, and do spatial or value range queries to their mesh data.

Published in:

ChinaGrid Annual Conference, 2008. ChinaGrid '08. The Third

Date of Conference:

20-22 Aug. 2008