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http://dx.doi.org/10.5139/JKSAS.2004.32.10.038

Efficient Parallel Visualization of Large-scale Finite Element Analysis Data in Distributed Parallel Computing Environment  

Kim, Chang-Sik (인하대학교 항공우주공학과)
Song, You-Me (인하대학교 항공우주공학과)
Kim, Ki-Ook (인하대학교 항공우주공학과)
Cho, Jin-Yeon (인하대학교 항공우주공학과)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.32, no.10, 2004 , pp. 38-45 More about this Journal
Abstract
In this paper, a parallel visualization algorithm is proposed for efficient visualization of the massive data generated from large-scale parallel finite element analysis through investigating the characteristics of parallel rendering methods. The proposed parallel visualization algorithm is designed to be highly compatible with the characteristics of domain-wise computation in parallel finite element analysis by using the sort-last-sparse approach. In the proposed algorithm, the binary tree communication pattern is utilized to reduce the network communication time in image composition routine. Several benchmarking tests are carried out by using the developed in-house software, and the performance of the proposed algorithm is investigated.
Keywords
Parallel Visualization; Sort-last-sparse; Parallel Finite Element Analysis;
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