找到CUDA,CMake正常运行: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. -- Found CUDA: /usr/local/cuda (found version "6.5") -- Found Intel TBB -- Boost version: 1.56.0 -- Found the following Boost libraries: -- iostreams -- program_...
答:CMake错误: CUDA_cublas_LIBRARY 是一个常见的构建错误,表示在使用CMake构建CUDA项目时,找不到CUDA库文件 "cublas"。通常这个错误是由于CUDA的安装或配置问题引起的。 解决这个错误的方法如下: 确认CUDA安装:首先需要确认CUDA已经正确安装,并且CUDA的安装路径已经添加到系统环境变量中。可以通过在命令行中输入nvcc ...
CMakeList.txt中编写为 project(demo LANGUAGES CXX CUDA) set(CMAKE_CUDA_ARCHITECTURES 86) add_executable(demo demo.cu) target_link_libraries(demo PRIVATE cuda) 然后 mkdir build cd build cmake .. make -j4 即可编译成功 发布于 2023-12-28 22:18・IP 属地上海 ...
这样写是将cudaTest作为library链接到main 需要在cudaTest目录中加CMakeLists.txt然后主CMakeLists写target_link_libraries(main cudaTest) ** 第二种方法是不在子目录中加CMakeLists.txt,直接将子文件加到主CMakeLists.txt 这样子目录CMakeLists可以不写了,也不用加target_link_libraries cmake_minimum_required(...
方法一：find_package在CMakeLists.txt中的应用如果你的CMake版本低于3.10，推荐在CMakeLists.txt文件中通过find_package导入CUDA包。通过设置CUDA_VERSION_STRING、CUDA_INCLUDE_DIRS和CUDA_LIBRARIES变量，可以轻松配置编译CUDA可执行文件或库。具体操作可参考CMake官方文档。方法二：3.10及以上版本的CUDA...
CUDA_SEPARABLE_COMPILATIONON)# 如果需要链接其他 CUDA 库target_link_libraries(TESTPRIVATE cuda cudart ) test.cu如下: #include<iostream>#include<cuda_runtime.h>// CUDA kernel function for vector addition__global__voidaddKernel(int* c,constint* a,constint* b,intsize){intidx = threadIdx.x +...
cmake目前可以较好的支持cuda编译,本文只列出其中一种方法,仅供参考 CMakeLists.txt cmake_minimum_required(VERSION3.15) project(test) find_package(CUDA REQUIRED) cuda_add_executable(test test.cu) target_link_libraries(test) test.cu #include <iostream>void__global__ add(constint* a,constint* b,...
cpp) target_link_libraries(test_mylib mylib ${CUDA_CUFFT_LIBRARIES}) 但是,我从第 2 行收到以下错误: CMake Error at C:/Program Files/CMake/share/cmake-3.15/Modules/CMakeDetermineCompilerId.cmake:345 (message): No CUDA toolset found. Call Stack (most recent call first): C:/Program ...
cmake目前可以较好的支持cuda编译,本文只列出其中一种方法,仅供参考 CMakeLists.txt cmake_minimum_required(VERSION 3.15) project(test) find_package(CUDA REQUIRED) cuda_add_executable(test test.cu) target_link_libraries(test) 1. 2. 3. 4.
Do you by chance havetwoCUDA libraries installed? One via Ubuntu and one via NVidia's install? It could be confusingcmake: On my system: $ ls -l /usr/bin/nvcc ls: cannot access '/usr/bin/nvcc': No such file or directory $ dpkg -S `which nvcc` cuda-nvcc-12-1: /usr/local/cud...