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cmake_minimum_required(VERSION 3.24) | ||
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project(CUDAVectorAdd) | ||
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enable_language(CUDA) # Enable CUDA language support | ||
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set(CMAKE_CXX_STANDARD 17) | ||
set(CMAKE_CUDA_STANDARD 14) | ||
set(CMAKE_CUDA_ARCHITECTURES | ||
52 | ||
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86) | ||
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if(NOT CMAKE_BUILD_TYPE) | ||
set(CMAKE_BUILD_TYPE RelWithDebInfo) | ||
endif() | ||
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add_executable(vecAdd main.cpp vecAdd.cu) | ||
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set_target_properties(vecAdd PROPERTIES CUDA_SEPARABLE_COMPILATION ON) | ||
target_link_libraries(vecAdd PRIVATE cuda) |
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#include <cmath> | ||
#include <iostream> | ||
#include <vector> | ||
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extern void cudaVecAdd(float* A, float* B, float* C, int N); | ||
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int main() { | ||
int N = 1024; | ||
std::vector<float> h_A(N, 0); | ||
std::vector<float> h_B(N, 0); | ||
std::vector<float> h_C(N, 0); | ||
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// Initialize vectors | ||
for (int i = 0; i < N; ++i) { | ||
h_A[i] = sin(i) * sin(i); | ||
h_B[i] = cos(i) * cos(i); | ||
} | ||
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// Call the CUDA kernel wrapper function | ||
cudaVecAdd(h_A.data(), h_B.data(), h_C.data(), N); | ||
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// Check the result | ||
for (int i = 0; i < N; ++i) { | ||
float expected = h_A[i] + h_B[i]; | ||
if (abs(h_C[i] - expected) > 1e-5) { | ||
std::cerr << "Result verification failed at element " << i << "!\n"; | ||
return EXIT_FAILURE; | ||
} | ||
} | ||
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std::cout << "Test PASSED\n"; | ||
return 0; | ||
} |
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#include <cuda_runtime.h> | ||
#include <iostream> | ||
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__global__ void vecAddKernel(float* A, float* B, float* C, int N) { | ||
int i = blockDim.x * blockIdx.x + threadIdx than that on x; | ||
if (i < N) { | ||
C[i] = A[i] + B[i]; | ||
} | ||
} | ||
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// Wrapper function for the CUDA kernel | ||
void cudaVecAdd(float* A, float* B, float* C, int N) { | ||
float *d_A, *d_B, *d_C; | ||
size_t size = N * sizeof(float); | ||
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cudaMalloc(&d_A, size); | ||
cudaMalloc(&d_B, size); | ||
cudaMalloc(&d_C, size); | ||
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cudaMemcpy(d_A, A, size, cudaMemcpyHostToDevice); | ||
cudaMemcpy(d_B, B, size, cudaMemcpyHostToDevice); | ||
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int threadsPerBlock = 256; | ||
int blocksPerGrid = (N + threadsPerBlock - 1) / threadsPerBlock; | ||
vecAddKernel<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, N); | ||
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cudaMemcpy(C, d_C, size, cudaMemcpyDeviceToHost); | ||
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cudaFree(d_A); | ||
cudaFree(d_B); | ||
cudaFree(d_C); | ||
} |
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#!/bin/bash | ||
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set -x # echo on | ||
set -e # exit on error | ||
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cmake --version | ||
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sudo apt update -y | ||
sudo apt install libc++-dev libgflags-dev libsuitesparse-dev clang | ||
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git clone https://gitlab.com/libeigen/eigen.git | ||
cd eigen | ||
git checkout c1d637433e3b3f9012b226c2c9125c494b470ae6 | ||
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mkdir build-eigen | ||
cd build-eigen | ||
cmake .. -DEIGEN_DEFAULT_TO_ROW_MAJOR=$ROW_MAJOR_DEFAULT | ||
sudo make install | ||
cd ../.. |