基于agent的GPU情绪扩散模型

2014 IEEE 5th International Conference on Software Engineering and Service Science Pub Date : 2014-10-23 DOI:10.1109/ICSESS.2014.6933747

Xiaotong Wang, Zhen Liu, Su Deng

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引用次数: 0

摘要

通过对情绪扩散问题的分析，结合Agent理论，建立了基于Agent的情绪扩散模型，利用CUDA编程工具对适合并行计算的部件进行设计实现，从而证明了GPU计算可以提高模型计算的效率。

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Agent-based mood spread diffusion model for GPU

By the analysis of problems of mood spread diffusion, combining the theory of Agent, Agent-Based mood diffusion model was established, using CUDA programming tool, which is suitable for parallel computing of the part to carry on the design implementation, thus proving the GPU computing can improve the efficiency of the model calculation.

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来源期刊

2014 IEEE 5th International Conference on Software Engineering and Service Science

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