testEigenOnGPU.cu File Reference

Functions
__global__ void	dummy_kernel ()
__global__ void	testEigenMatrix1_kernel ()
__global__ void	testEigenMatrix2_kernel ()
__global__ void	testEigenMatrix3_kernel ()
__global__ void	testEigenMatrix4_kernel ()
int	main ()

Variables
__constant__ int	size = 6
__constant__ int	rows = 6
__constant__ int	cols = 6

Function Documentation

dummy_kernel()

__global__ void dummy_kernel

(

)

                               {
    int x = threadIdx.x;
    return;
}

main()

int main

(

void

)

           {
    // Eigen::MatrixXd mat(2,2);
    // printf("(CPU): Constructed a Eigen::MatrixXd object.\n");
    // mat.resize(6, 6);
    // for(int j = 0; j != mat.rows(); ++j)
    //  for(int k = 0; k != mat.cols(); ++k) { printf("\tmat(%d,%d) = %f\n", j, k, mat(j, k)); }
 
    testEigenMatrix1_kernel<<<1, 1>>>();
    dummy_kernel<<<1,1>>>();
    cudaDeviceSynchronize();
    std::cout << "Passed the point 1\n\n" << std::endl;
 
    // testEigenMatrix2_kernel<<<1, 1>>>();
    // dummy_kernel<<<1,1>>>();
    // cudaDeviceSynchronize();
    // std::cout << "Passed the point 2\n\n" << std::endl;
 
    testEigenMatrix3_kernel<<<1, 1>>>();
    cudaDeviceSynchronize();
    std::cout << "Passed the point 3\n\n" << std::endl;
 
    // testEigenMatrix4_kernel<<<1, 1>>>();
    // dummy_kernel<<<1,1>>>();
    // cudaDeviceSynchronize();
    // std::cout << "Passed the point 4\n\n" << std::endl;
    return EXIT_SUCCESS;
}

testEigenMatrix1_kernel()

__global__ void testEigenMatrix1_kernel

(

)

                                          {
    Eigen::MatrixXd mat(rows, cols);
    for(int j = 0; j != mat.rows(); ++j)
        for(int k = 0; k != mat.cols(); ++k) { printf("\tmat(%d,%d) = %f\n", j, k, mat(j, k)); }
}

testEigenMatrix2_kernel()

__global__ void testEigenMatrix2_kernel

(

)

                                          {
    Eigen::MatrixXd mat;
    mat.resize(rows, cols);
    for(int j = 0; j != mat.rows(); ++j)
        for(int k = 0; k != mat.cols(); ++k) { printf("\tmat(%d,%d) = %f\n", j, k, mat(j, k)); }
    return;
}

testEigenMatrix3_kernel()

__global__ void testEigenMatrix3_kernel

(

)

                                          {
    Eigen::MatrixXd mat(2,2);
    printf("testEigenMatrix3_kernel: Constructed a Eigen::MatrixXd object.\n");
    mat.resize(rows, cols);
    for(int j = 0; j != mat.rows(); ++j)
        for(int k = 0; k != mat.cols(); ++k) { printf("\tmat(%d,%d) = %f\n", j, k, mat(j, k)); }
    return;
}

testEigenMatrix4_kernel()

__global__ void testEigenMatrix4_kernel

(

)

                                          {
    Eigen::MatrixXd mat;
    mat = Eigen::MatrixXd::Ones(rows, cols);
    for(int j = 0; j != mat.rows(); ++j)
        for(int k = 0; k != mat.cols(); ++k) { printf("\tmat(%d,%d) = %f\n", j, k, mat(j, k)); }
    return;
}

Variable Documentation

cols

__constant__ int cols = 6

rows

__constant__ int rows = 6

size

__constant__ int size = 6