Remote visual analysis of numerical simulations on distributed-memory parallel environment

Author

Cao, Yi ; Wang, Huawei ; Wu, Jiming

Author_Institution

High Performance Comput. Center, Inst. of Appl. Phys. & Comput., Beijing, China

fYear

2010

fDate

23-25 Nov. 2010

Firstpage

633

Lastpage

637

Abstract

The distributed-memory parallel computer has become the most popular platform for the parallel acceleration of numerical simulations in scientific computing area. However, complex system characteristics and large-scale time-varying data produced on such environment present tremendous challenges for convenient data analyzing. A visualization system framework is introduced in this paper, which can be easily used to visual analyze the remote simulations. It utilizes a hybrid computational coupling strategy adapting to the parallel computing environment flexibly without disturbing the simulation code structures. Experimental results show the proposed framework can provide good interactivity during steering remote parallel simulations.

Keywords

data visualisation; distributed memory systems; numerical analysis; parallel processing; convenient data; distributed memory parallel computer; hybrid computational coupling strategy; large scale time varying data; numerical simulation; parallel acceleration; remote simulations; remote visual analysis; scientific computing; simulation code structures; visualization system framework; Adaptation model; Computational modeling; Data models; Data visualization; Numerical models; Rendering (computer graphics); Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Audio Language and Image Processing (ICALIP), 2010 International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-5856-1

Type

conf

DOI

10.1109/ICALIP.2010.5685044

Filename

5685044