git clone https://github.com/NVIDIA/cuda-samples.git Without using git the easiest way to use these samples is to download the zip file containing the current version by clicking the "Download ZIP" button on the repo page. You can then unzip the entire archive and use the samples. Build...
git clone https://github.com/NVIDIA/cuda-samples.git 在不使用git的情况下,使用这些示例的最简单方法是通过单击repo页面上的“下载zip”按钮下载包含当前版本的zip文件。然后,您可以解压缩整个归档文件并使用示例。 编译示例 Windows 略 Linux Linux示例是使用makefile构建的。要使用makefiles,请将当前目录更改为要...
git clone https://github.com/NVIDIA/cuda-samples.git Without using git the easiest way to use these samples is to download the zip file containing the current version by clicking the "Download ZIP" button on the repo page. You can then unzip the entire archive and use the samples. Buildin...
The reference guide for the CUDA Samples.1. Release Notes This section describes the release notes for the CUDA Samples only. For the release notes for the whole CUDA Toolkit, please see CUDA Toolkit Release Notes. 1.1. CUDA 11.6 All CUDA samples are now only available on GitHub repository...
As of CUDA 11.6, all CUDA samples are now only available on the GitHub repository. They are no longer available via CUDA toolkit.2. Notices 2.1. Notice This document is provided for information purposes only and shall not be regarded as a warranty of a certain functionality, condition...
Yes, NVIDIA welcomes contributions to the NVIDIA CUDA Samples project. Visit the GitHub repository for more information on how to contribute. Are new samples added to NVIDIA CUDA Samples over time? Yes, NVIDIA continues to add new samples to NVIDIA CUDA Samples to demonstrate the latest features...
一、下载CUDA Samples 首先,您需要下载与您安装的CUDA版本相匹配的Samples。CUDA官方并没有在安装路径下默认生成samples,因此您需要前往GitHub上的NVIDIA/cuda-samples仓库下载对应版本的tar包。在下载时,请确保选择与您的CUDA版本相匹配的tar包。 下载完成后,使用以下命令解压tar包: tar -xzvf cuda-samples-X.X.tar...
通常cuda版本中均包含driver,根据个人经验建议driver单独安装,然后装cuda时勾选掉driver安装,防止后期因为驱动问题,返回来去debug 复杂的问题 三、安装 0、环境准备 sudo dnf install -y tar bzip2 make automake gcc gcc-c++ pciutils elfutils-libelf-devel libglvnd-devel ...
cuda-samples/Samples/0_Introduction/fp16ScalarProduct/fp16ScalarProduct.cu at master · NVIDIA/cuda-samples · GitHub Motivation FP16的计算在神经网络推理中是常用的计算数据类型, 因此了解FP16的点乘是很有必要的。 主要技巧 fp16scalarPruduct.cu用于计算两个半精度浮点数(half2类型)向量的点积。程序中使用...
删除该副本后,可以观察到显著的性能改进(图 3 )。 图3 。大内核参数 QUDA 中内核执行时间的改进 总结 CUDA 12.1 为您提供了使用内核参数传递多达 32764 个字节的选项,可以利用这些参数简化应用程序并提升性能。要查看本文中引用的完整代码示例,请访问NVIDIA/cuda-samples GitHub。