DOI QR코드

DOI QR Code

분산 병렬 계산환경에 적합한 초대형 유한요소 해석 결과의 효율적 병렬 가시화

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

  • 김창식 (인하대학교 항공우주공학과) ;
  • 송유미 (인하대학교 항공우주공학과) ;
  • 김기욱 (인하대학교 항공우주공학과) ;
  • 조진연 (인하대학교 항공우주공학과)
  • 발행 : 2004.12.01

초록

본 논문에서는 병렬 랜더링 기법의 특정들을 고창하고 이를 토대로 대규모 유한요소 해석결과를 효율적으로 가시화 할 수 있는 병렬 가시화 알고리듬을 제안하였다. 제안된 알고리듬은 요소영역별 계산을 기반으로 하는 병렬 유한요소 해석의 특성에 적합하도록 부분 후 분류방식을 기반으로 설계되었으며, 이미지 조합 과정에 수반되는 네트워크 통신을 효율화하고자 이진 트리구조 통신 패턴을 적용하여 구성되었다. 자체 개발된 소프트웨어를 이용하여 벤치마킹 테스트를 수행하고, 이를 통해 제안된 알고리듬의 병렬 가시화 성능을 측정하였다.

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.

키워드

참고문헌

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