[{"data":1,"prerenderedAt":45},["ShallowReactive",2],{"rendered-post-b3409785":3},{"abbrlink":4,"title":5,"date":6,"categories":7,"tags":9,"excerpt":11,"htmlChunkEnds":12,"toc":16,"htmlGzip":44},"b3409785","CUDA编程: GPU编程概述和CUDA环境搭建","2023-12-12",[8],"CUDA 编程",[10],"CUDA","摘要 模型变得越来越深，参数愈加庞大，虽然准确率不断增长，由于硬件受限，对实际场景部署的要求也越来越高，CUDA 编程成为了一门必备的武林绝学。",[13,14,15],12526,25030,26388,[17,21,24,27,31,34,37,39,41],{"id":18,"text":19,"html":19,"level":20},"post-heading-摘要","摘要",2,{"id":22,"text":23,"html":23,"level":20},"post-heading-cuda简介","CUDA简介",{"id":25,"text":26,"html":26,"level":20},"post-heading-cuda-安装","CUDA 安装",{"id":28,"text":29,"html":29,"level":30},"post-heading-linux-安装","Linux 安装",3,{"id":32,"text":33,"html":33,"level":30},"post-heading-windows-安装","Windows 安装",{"id":35,"text":36,"html":36,"level":20},"post-heading-pycuda","PyCUDA",{"id":38,"text":29,"html":29,"level":30},"post-heading-linux-安装-2",{"id":40,"text":33,"html":33,"level":30},"post-heading-windows-安装-2",{"id":42,"text":43,"html":43,"level":20},"post-heading-nvidia-nsight-systems","Nvidia Nsight 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