Until now, the programs that we have seen were not leveraging any advantages of the parallel-processing capabilities of GPU devices. They were just written to get you familiar with the programming concepts in CUDA. From this section, we will start utilizing the parallel-processing capabilities of the GPU by performing vector or array operations on it.
Vector operations in CUDA
Two-vector addition program
To understand vector operation on the GPU, we will start by writing a vector addition program on the CPU and then modify it to utilize the parallel structure of GPU. We will take two arrays of some numbers and store the answer of element-wise addition in the third array. The vector addition function on CPU is shown here...
