The CUDA language makes another type of memory available to the programmer, which is known as constant memory. NVIDIA hardware provides 64 KB of this constant memory, which is used to store data that remains constant throughout the execution of the kernel. This constant memory is cached on-chip so that the use of constant memory instead of global memory can speed up execution. The use of constant memory will also reduce memory bandwidth to the device's global memory. In this section, we will see how to use constant memory in CUDA programs. A simple program that performs a simple math operation, a*x + b, where a and b are constants, is taken as an example. The kernel function code for this program is shown as follows:
#include "stdio.h"
#include<iostream>
#include <cuda.h>
#include <cuda_runtime.h>
//Defining two constants
__constant__...
