GpuCalculateTools
GpuCalculateTools是一个基于GPU并行化技术开发的python包。它旨在提升数据的运算效率，提供了许多高效运算的算子、模块和函数等等。目前该包正在开发完善中，且仅支持英伟达系列显卡（因为笔者的显卡就是1660ti的）。后续可能会兼容更多的显卡类型。敬请期待。
版本更新浏览
- 修改了nvcc编译器的编译选项。
- 添加了对不同python版本的支持。
- 支持在conda虚拟环境中运行。
- 修改了系统路径的查询逻辑。
如何安装该程序
在安装此程序前确保您的设备安装nvcc编译器。nvcc编译器可以通过访问英伟达下载官网进行下载。下载安装后需要找到cudaToolkit的根目录，然后在系统路径配置CUDA_HOME环境变量。
如何使用GpuCalculateTools查看设备的运行参数？
通过使用get_device_prop函数可以获取显卡的运行参数，包括显卡的名称、计算能力系数、显存大小等等。该函数参数为dev_no，dev_no表示显卡的序号。如果设备中包含多个显卡，可以通过get_device_count函数获取显卡的数量，然后根据序号获取指定显卡的详细信息。
如何在指定显卡运行程序？
通过使用set_device函数指定某一个显卡运行程序。该函数参数为dev_no，dev_no表示显卡的序号。
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Release files for gpucalculatetools 0.0.3
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Release files / gpucalculatetools-0.0.3.tar.gz
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