选址与路径优化matlab代码-STOMPSelfJoin:用于计算矩阵轮廓的STOMP算法的GPU实现

上传者: 38629130 | 上传时间: 2022-05-02 21:08:50 | 文件大小: 20.75MB | 文件类型: ZIP
选址与路径优化matlab代码STOMPSelfJoin 这是 STOMP 算法的 GPU 实现。 STOMP 将时间序列作为输入并计算特定窗口大小的矩阵轮廓。 您可以在 对于附加功能和更好的性能,您应该使用 环境 这个基础项目需要: 至少有 9.0 版的 CUDA 工具包可用。 还需要具有 CUDA 支持的 NVIDIA GPU。 您可以找到与 CUDA 兼容的 GPU 列表 目前使用 Makefile 在 linux 下构建。 应该在windows下编译,但未经测试。 用法 编辑生成文件 默认情况下支持 Volta,但如果需要,请根据 GPU 的计算能力设置 ARCH 的值。 “-gencode=arch=compute_code,code=sm_code”,其中代码对应于您希望添加的计算能力或架构。 确保 CUDA_DIRECTORY 对应于系统上安装 cuda 的位置。 这通常是 Linux 上的/usr/local/cuda-(VERSION)/ 此外,默认情况下,内核参数仅针对 volta 优化,如果您正在为 Pascal 或更早版本构建,请相应地调整 STOMP.cu 中

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