__global__ void Decrease(int a, int b, int *c) { *c = a - b; } void addWithCuda(int *c) { int *dev_c = 0;//这个相当于内存和显存有一样的 //3.请求CUDA设备的内存(显存),执行CUDA函数 cudaMalloc((void**)&dev_c, sizeof(int)); Decrease << <1, 1 >> >(15, 30, dev...
// | map from device_vector to a viewer |dB=dB.cviewer()]// | which is the most muda-style part! |__device__(inti)mutable// place "mutable" to make dC modifiable{dC(i+1)=dA(i)+dB(i);}).wait();// wait the kernel to finish...
1. 函数原型:cudaError_t cudaFree ( void* devPtr )。 2. 函数作用:与c语言中的free()函数一样,只是此函数释放的是cudaMalloc()分配的内存。 下面实例用于解释上面三个函数 #include <stdio.h> #include <cuda_runtime.h> __global__ void add( int a, int b, int *c ) { *c = a + b; ...
cmake_minimum_required(VERSION 3.10) project(TEST_BINARY) enable_language(CXX CUDA) # OpenCV set(CMAKE_PREFIX_PATH "/home/wei/ubuntu/Libs/opencv-4.5.1/INSTALL") find_package(OpenCV REQUIRED) if(OpenCV_FOUND) message(STATUS "Found OpenCV") endif() # Debug add_definitions(-DSTRONG_DEBUG) a...
Below are the demos within the demo suite.2.1. deviceQuery This application enumerates the properties of the CUDA devices present in the system and displays them in a human readable format.2.2. vectorAdd This application is a very basic demo that implements element by element vector ...
CUDA Demo Suite Reference Manual TRM-06704-001_v11.4 | November 2021 Table of Contents Chapter 1. Introduction... 1 Chapter 2. Demos...
《CUDA C 编程指南》学习笔记 CUDA是什么? CUDA(Compute Unified Device Architecture),是显卡厂商NVIDIA推出的运算平台。是一种通用并行计算架构,该架构使GPU能够解决复杂的计算问题。说白了就是我们可以使用GPU来并行完成像神经网络、图像处理算法这些在CPU上跑起来比较吃力的程序。通过GPU和高并行,我们可以大大提高...
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 ...
右键新建好的test.cu--->配置属性--->常规--->项类型:CUDA C/C++ 右键cuda_test项目--->生成自定义--->勾选CUDA 8.0 右键cuda_test项目--->配置属性--->CUDA C/C++--->Additional Include Directories: C:\ProgramData\NVIDIA Corporation\CUDA Samples\v8.0\common\inc ...
后面有任务需要编写分类算法、理解CUDA特性、学习CUDA 扩展库等,均从中找到了合适的Demo,快速搭建原型...