Real-Time Dynamic Cloud Simulation based on Multi-Core and Multi-Thread

被引:5
|
作者
Guo, Haoran [1 ]
Pang, Jianmin [1 ]
Shan, Zheng [1 ]
机构
[1] Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Henan, Peoples R China
关键词
Multi-Core Processor; Multi Thread; Dynamic Cloud; Cellular Automaton; Simulation;
D O I
10.1109/MINES.2012.163
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper proposes a real-time dynamic cloud simulation approach based on multi-core and multi thread. In cloud modeling stage, Cellular Automaton is introduced to simulate cloud growing and evolving in the cell automatic control grid. The wind function is designed to achieve cloud dynamic effective. In stage of cloud illumination, a two-step multi-scattering model is introduced to simulate the light intensity of cloud practice in atmosphere and view point to human eye. The cloud modeling and illumination are designed and implement by take advantage of multi-core and multi-thread technique. Experiment results show that our approach perform better on multi-core platform than single-core computer. Compared with other similar work, our approach has higher fps and better visual quality in dynamic cloud simulation.
引用
收藏
页码:241 / 245
页数:5
相关论文
共 50 条
  • [31] A heterogeneous system based on GPU and multi-core CPU for real-time fluid and rigid body simulation
    da Silva Junior, Jose Ricardo
    Gonzalez Clua, Esteban W.
    Montenegro, Anselmo
    Lage, Marcos
    Dreux, Marcelo de Andrade
    Joselli, Mark
    Pagliosa, Paulo A.
    Kuryla, Christine Lucille
    INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2012, 26 (03) : 193 - 204
  • [32] Real-Time Research of Scramjet One Dimensional Model Simulation Based on Multi-Core Parallel Computation
    Yang L.
    Shi X.-X.
    Liu X.-Y.
    Li Y.
    Su C.-Y.
    Wang M.-J.
    Tuijin Jishu/Journal of Propulsion Technology, 2022, 43 (06):
  • [33] Energy-Efficient Real-Time Multi-Core Assignment Scheme for Asymmetric Multi-Core Mobile Devices
    Kim, Donghoon
    Ko, Young-Bae
    Lim, Sung-Hwa
    IEEE ACCESS, 2020, 8 : 117324 - 117334
  • [34] Using Multi-core Architectures to Improve the Performance of Real-time Dynamic Binary Instrumentation
    Du, Mike
    Hill, James H.
    2020 IEEE 23RD INTERNATIONAL SYMPOSIUM ON REAL-TIME DISTRIBUTED COMPUTING (ISORC 2020), 2020, : 167 - 175
  • [35] Dynamic Cache Reconfiguration and Partitioning for Energy Optimization in Real-Time Multi-Core Systems
    Wang, Weixun
    Mishra, Prabhat
    Ranka, Sanjay
    PROCEEDINGS OF THE 48TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2011, : 948 - 953
  • [36] Cooperative scheduling of multi-core and cloud resources: multi-thread-based MCC offloading strategy
    Wang, Zhaoyang
    Han, Zhuo
    Yan, Lei
    Yang, Shouyi
    IET COMMUNICATIONS, 2019, 13 (14) : 2146 - 2154
  • [37] A compact Multi-core CPU based adaptive optics real-time controller
    Chen Shanqiu
    Zhao Enyi
    Xu Bing
    Ye Yutang
    7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: LARGE MIRRORS AND TELESCOPES, 2014, 9280
  • [38] Demand-based schedulability analysis for real-time multi-core scheduling
    Lee, Jinkyu
    Shin, Insik
    JOURNAL OF SYSTEMS AND SOFTWARE, 2014, 89 : 99 - 108
  • [39] Real-Time Task Scheduling on Island-Based Multi-Core Platforms
    Chang, Che-Wei
    Chen, Jian-Jia
    Kuo, Tei-Wei
    Falk, Heiko
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2015, 26 (02) : 538 - 550
  • [40] Research of Real-Time Wavefront Reconstruction and Control Based on Multi-core DSP
    Wang, Zhui
    Zhou, Luchun
    Li, Mei
    Zhang, Haotian
    7TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTICAL TEST AND MEASUREMENT TECHNOLOGY AND EQUIPMENT, 2014, 9282