基于GPU的B-S模型下改进的Crank Nicolson算法
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The Research of Improved Crank Nicolson Algorithm with B-S Model Based on GPU
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    摘要:

    针对Black-Scholes模型及其公式特点进行了理论分析与数学处理,给出了优化的Crank-Nicolson算法,提高了实际期权交易效率.通过使用GPU作为计算平台,结合CUDA架构技术,验证改进后算法的有效性和适用性.在CPU平台下进行横向测试,验证GPU平台运行环境优势.实验表明,改进后的算法在GPU平台下运行所提升的效果显著,运算精度和效率得到提高.

    Abstract:

    Based on the analysis of the famous Black-Scholes (B-S) model,the Crank-Nicolson algorithm was optimized in accordance with the theoretical and numerical analysis resuls.A new way to improve the efficientey and effective ness of actual options tradings was created.By using the GPU as a computing platform,and combining with the CUDA technology,the validity and applicability of the improved algorithm were verified.By doing horizontal test on CPU platform the running environmental advantages of GPV platform were verified.The experiments show that the improved algorithm running on GPU platform can get significant effecs.The operation precision and computational efficiency can be greatly improved.

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王文浩,邬春学.基于GPU的B-S模型下改进的Crank Nicolson算法[J].上海理工大学学报,2013,35(2).

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  • 在线发布日期: 2013-05-20
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