進行下面操作的前提是，我們的環境已經能跑簡單的CUDA程序了。

一、安裝Nsight

二、創建launch.json文件

{"version": "0.2.0","configurations": [{"name": "CUDA C++: Launch","type": "cuda-gdb","request": "launch","program": "${fileDirname}/main","preLaunchTask": "mynvcc","args": ["1024"]  // 示例：傳遞向量大小作為參數}]
}

?

三、創建task.json文件

{"version": "2.0.0","tasks": [{"label": "mynvcc","type": "shell","command": "nvcc","args": ["-g","-G","-o","${fileDirname}/main","${file}","-I", "/usr/local/cuda/include","-L", "/usr/local/cuda/lib64","-l", "cudart","-D_MWAITXINTRIN_H_INCLUDED"],"group": {"kind": "build","isDefault": true},"problemMatcher": ["$gcc"]}]
}

?四、創建main.cu

注意：名稱一定是main.cu，和上面的json文件中的main對應。

#include <cuda.h> 
#include <iostream> 
#include <vector> 
using namespace std;// Add A and B vector on the GPU. Results stored into C
__global__
void addKernel(int n, float* A, float* B, float* C)
{int i = blockIdx.x*blockDim.x + threadIdx.x;if(i < n) C[i] = A[i] + B[i];
}// Add A and B vector. Results stored into C
int add(int n, float* h_A, float* h_B, float* h_C)
{int size = n*sizeof(float);// Allocate memory on device and copy datafloat* d_A;cudaMalloc((void**)&d_A, size);cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice);float* d_B;cudaMalloc((void**)&d_B, size);cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice);float* d_C;cudaMalloc((void**)&d_C, size);// launch Kernelcout << "Running 256 threads on " << ceil(n/256.0f) << " blocks -> " << 256*ceil(n/256.0f) << endl;addKernel<<<ceil(n/256.0f),256>>>(n, d_A, d_B, d_C);// Transfer results back to hostcudaMemcpy(h_C, d_C, size, cudaMemcpyDeviceToHost);// Free device memorycudaFree(d_A);cudaFree(d_B);cudaFree(d_C);return 0;
}// C = A + B on a GPU, where A is a vector of 1.0f and B a vector of 2.0f
// The main function takes one argument, the size of the vectors
int main(int argc, char* argv[])
{int n = atoi(argv[1]);vector<float> h_A(n, 1.0f);vector<float> h_B(n, 2.0f);vector<float> h_C(n);add(n, h_A.data(), h_B.data(), h_C.data());for(auto& c : h_C) {if(fabs(c-3.0f) > 0.00001f) {cout << "Error!" << endl;return 1;}}cout << "The program completed successfully" << endl;return 0;
}

五、編譯main.cu

nvcc -g -G -o main main.cu

?六、開始調試

進入main.cu文件，打上斷點，按F5，開始debug調試。

按F5后可能會出現警告，點擊 無論如何繼續，能調試就行，先別管亂起八糟的。