Optimizing parallel performance of unstructured volume rendering for the Earth Simulator

被引:14
|
作者
Chen, L [1 ]
Fujishiro, I
Nakajima, K
机构
[1] Res Org Informat Sci & Technol, Tokyo 1530061, Japan
[2] Ochanomizu Univ, Grad Sch Humanities & Sci, Tokyo 1128610, Japan
关键词
large-scale parallel visualization; parallel volume rendering; unstructured datasets; SMP cluster architecture; Earth Simulator;
D O I
10.1016/S0167-8191(02)00251-X
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A scalable and high-performance parallel visualization subsystem has been developed in GeoFEM for the Earth Simulator (ES). As part of the ES project in Japan, the proposed subsystem is effective for the visualization of huge-scale unstructured datasets, and can be concurrent with computation on the same high-performance parallel computer. Moreover, some parallel visualization modules have obtained a good parallel performance, covering scalar, vector and tensor fields. This paper will take volume rendering method as an example to describe a number of efficient parallel performance optimization strategies we adopted for large-scale unstructured data visualization on SMP cluster machines, including suitable design of visualization method, the three-level hybrid parallelization which means message passing for inter-SMP node communication, loop directives for intra-SMP node parallelization, and vectorization for each processing element, plus dynamic load balancing. Good visualization. images and high parallel performance have been achieved on the ES, thus demonstrating the feasibility and effectiveness of the proposed method. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:355 / 371
页数:17
相关论文
共 50 条
  • [41] Survey of parallel and distributed volume rendering: Revisited
    Zhang, JW
    Sun, JZ
    Jin, Z
    Zhang, Y
    Zhai, Q
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, PT 3, 2005, 3482 : 435 - 444
  • [42] Data-parallel volume rendering with adaptive volume subdivision
    Sano, K
    Kitajima, H
    Kobayashi, H
    Nakamura, T
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2000, E83D (01): : 80 - 89
  • [43] A PARALLEL VOLUME RENDERING METHOD FOR MASSIVE DATA
    Yao, Jun
    Xue, Jian
    Lv, Ke
    Miao, Qinghai
    2016 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW), 2016,
  • [44] Memory management strategies for parallel volume rendering
    Kose, C
    Chalmers, A
    PARALLEL PROCESSING DEVELOPMENTS, 1996, 47 : 113 - 125
  • [45] Parallel volume rendering based on LOD method
    Gao, Xiwei
    Lin, Hai
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [46] Parallel volume rendering using the BSP model
    Xie, H
    Li, WQ
    PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING, 1997, 3166 : 274 - 279
  • [47] Sort-First Parallel Volume Rendering
    Moloney, Brendan
    Ament, Marco
    Weiskopf, Daniel
    Moeller, Torsten
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2011, 17 (08) : 1164 - 1177
  • [48] Parallel volume rendering with sparse data structures
    Liu, JS
    Huang, CH
    Yang, DL
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2005, 21 (02) : 327 - 339
  • [49] Data-parallel volume rendering with adaptive volume subdivision
    Sano, Kentaro
    Kitajima, Hiroyuki
    Kobayashi, Hiroaki
    Nakamura, Tadao
    1600, IEICE of Japan, Tokyo, Japan (E83-D):
  • [50] PAVOR - Parallel Adaptive Volume Rendering System
    Meissner, M
    APPLIED PARALLEL COMPUTING: LARGE SCALE SCIENTIFIC AND INDUSTRIAL PROBLEMS, 1998, 1541 : 357 - 365