High-speed parallel image processing technology-Cuda

1. In a CudaProgramBasic hostCodeMainly to complete the following tasks

1) Start cuda, add the device number when using multiple cards, or use cudadevice () to set the GPU device.

2) allocate memory on the CPU and GPU respectively to store input and output data. Remember to initialize the data on the CPU and then swap the data into the memory.

3) Call the kernel program on the device side for computation, write the result to the relevant area of the video memory, and write the result back to the memory.

4) use the CPU for other data processing to release memory and memory space.

5) Exit the Cuda device.