| 脉冲耦合神经网络的并行加速优化算法研究 |
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| 引用本文： | 钟瑾,施俊,常谦.脉冲耦合神经网络的并行加速优化算法研究[J].上海生物医学工程,2010(1):7-11. |
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| 作者姓名： | 钟瑾 施俊 常谦 |
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| 作者单位： | 上海大学通信与信息工程学院; |
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| 基金项目： | 国家自然科学基金资助项目(60701021); 上海市教育委员会科研创新项目(09YZ15); 上海市教委重点学科建设项目(J50104) |
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| 摘 要： | 并行编程技术可以有效提高算法的执行效率。文中分别利用CPU的单指令多数据流扩展指令集（Streaming SIMD Extensions,SSE）技术和多核并行编程技术,对脉冲耦合神经网络（Pulse Coupled Neural Network,PCNN）分割算法进行并行编程优化,以减少算法的运行时间。实验结果表明,SSE技术以及多核并行编程技术大大加快了PCNN分割算法的运行速度,有效提高了算法的执行效率,在一定程度上解决了该方法计算量大、耗时多的问题,具有应用于医学图像处理的潜在价值。
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| 关 键 词： | 脉冲耦合神经网络 单指令多数据流扩展指令集（SSE） 多核 并行编程 |
The Study of Parallel Programming Optimization of Pulse Coupled Neural Network |
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| Zhong Jin,Shi Jun,Chang QianSchool of Communication , Information Engineering,Shanghai University.The Study of Parallel Programming Optimization of Pulse Coupled Neural Network[J].Shanghai Journal of Biomedical Engineering,2010(1):7-11. |
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| Authors: | Zhong Jin Shi Jun Chang QianSchool of Communication Information Engineering Shanghai University |
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| Institution: | Zhong Jin,Shi Jun,Chang QianSchool of Communication , Information Engineering,Shanghai University(Shanghai,200072) |
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| Abstract: | The parallel programming technique can improve the algorithm's running efficiency.In this study,the Streaming SIMD Extensions(SSE)instructions in CPU and multi-core parallel programming technique were respectively used to optimize the pulse coupled neural network(PCNN)based segmentation algorithm so as to reduce the execution time.The experimental results indicated that SSE and multi-core parallel programming technique could speed up the PCNN-based segmentation algorithm,improve the running efficiency,and s... |
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| Keywords: | pulse coupled neural network streaming SIMD extensions(SSE) multi-core parallel programming |
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