GPGPUを用いたエージェントシミュレーションの高速化支援

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タイトル別名
  • Support for acceleration of agent simulation using GPGPU

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抄録

Recently, the number of station buildings and commercial facilities has increased due to redevelopment of cities, emergence of new business etc. In designing these facilities simulations are performed for predicting phenomenon caused by a very number of people aiming for example, to selecting escape routes and promote sales promotion. However, processing by the CPU requires much time for processing. Also, although processing can be performed at high speed by processing using the GPU, it is necessary to acquire knowledge of GPU architecture and special language. In this research, we propose a framework for reducing execution cost in agent simulation. In this framework, the development cost is reduced by processing the simulation with the GPU while concealing the GPGPU-specific commands to the developer. The framework also provides an optimization support for reducing divergence and shorten processing time at runtime. As a confirmation of the usefulness of the framework, we compare the execution time of simulation by CPU and GPU, discuss the description when using this framework, and evaluate this research.

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詳細情報 詳細情報について

  • CRID
    1390009224824753024
  • NII論文ID
    120006577724
  • NII書誌ID
    AA12746425
  • DOI
    10.15002/00021520
  • HANDLE
    10114/00021520
  • ISSN
    24321192
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • IRDB
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用可

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