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Parallel Simulation Based on GPU-Acceleration

  • Jun Du
  • Qiang Liang
  • Yongchun Xia
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 324)

Abstract

GPU has much intensive computation capacity and wide bandwidth, and with the advantage of high performance and low power cost, the heterogeneous architecture of CPU and GPU make good effect in many fields. With the appearance of CUDA that carried out by Nvidia, the GPU is used for general-purpose computation is easier and cheaper, there are many high performance computation questions in simulation field, such as the simulation of the electromagnetic environment, the solution of higher order differential equations, the simulation data processing, large-scale combat simulation and so on, among these, some of the questions that are involved data-intensive computation, are suitable for acceleration by GPU. With the development and maturity of GPGPU, the heterogeneous parallel computation will play an important role in parallel simulation.

Keywords

paralle simulation GPU acceleration general-purpose computation heterogeneous paralleling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jun Du
    • 1
  • Qiang Liang
    • 1
  • Yongchun Xia
    • 1
  1. 1.Academy of Armored Force EngineeringBeijingChina

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