Types_cuda.h

//types.h cuda attempt
#include <cuda_runtime.h>

__global__ void image_kernel(Pixel32 *image, int width, int height) {
    int x = threadIdx.x + blockIdx.x * blockDim.x;
    int y = threadIdx.y + blockIdx.y * blockDim.y;
    if (x < width && y < height) {
        int index = y * width + x;
        Pixel32 pixel = image[index];
        // Do some operation on the pixel
        // ...
        image[index] = pixel;
    }
}

Pixel32 *image_data;
int width, height;

// Allocate memory for image_data on the GPU
cudaMalloc(&image_data, width * height * sizeof(Pixel32));

// Copy image_data to the GPU
cudaMemcpy(image_data, host_image_data, width * height * sizeof(Pixel32), cudaMemcpyHostToDevice);

// Launch the kernel
dim3 block(16, 16);
dim3 grid((width + block.x - 1) / block.x, (height + block.y - 1) / block.y);
image_kernel<<<grid, block>>>(image_data, width, height);

// Copy image_data back to the host
cudaMemcpy(host_image_data, image_data, width * height * sizeof(Pixel32), cudaMemcpyDeviceToHost);

// Free GPU memory
cudaFree(image_data);
/* better to use code below?
SFLOAT *data;
int size;

// Allocate memory for data on the GPU
cudaMalloc(&data, size * sizeof(SFLOAT));

// Copy data to the GPU
cudaMemcpy(data, host_data, size * sizeof(SFLOAT), cudaMemcpyHostToDevice);

// Launch the kernel
int threads = 256;
int blocks = (size + threads - 1) / threads;
visual_kernel<<<blocks, threads>>>(data, size);

// Copy data back to the host
cudaMemcpy(host_data, data, size * sizeof(SFLOAT), cudaMemcpyDeviceToHost);

// Free GPU memory
cudaFree(data); */