Allocating more memory to an existing Global memory array

is it possible to add memory to a previously allocated array in global memory?

what i need to do is this:

//cudamalloc memory for d_A
int n=0;int N=100;
do
{
 Kernel<<< , >>> (d_A,n++);
 //add N memory to d_A
 while(n!=5)}

does doing another cudamalloc removes the values of the previously allocated array? in my case the values of the previous allocated array should be kept...

First, cudaMalloc behaves like malloc, not realloc. This means that cudaMalloc will allocate totally new device memory at a new location. There is no realloc function in the cuda API.

Secondly, as a workaround, you can just use cudaMalloc again to allocate more more memory. Remember to free the device pointer with cudaFree before you assign a new address to d_a. The following code is functionally what you want.

int n=0;int N=100;

//set the initial memory size
size = <something>;

do
{
    //allocate just enough memory
    cudaMalloc((void**) &d_A, size);

    Kernel<<< ... >>> (d_A,n++);   

    //free memory allocated for d_A
    cudaFree(d_A);

    //increase the memory size
    size+=N;

while(n!=5)}

Thirdly, cudaMalloc can be an expensive operation, and I expect the above code will be rather slow. I think you should consider why you want to grow the array. Can you allocate memory for d_A one time with enough memory for the largest use case? There is likely no reason to allocate only 100 bytes if you know you need 1,000 bytes later on!

//calculate the max memory requirement
MAX_SIZE = <something>;

//allocate only once
cudaMalloc((void**) &d_A, MAX_SIZE);

//use for loops when they are appropriate
for(n=0; n<5; n++)
{
    Kernel<<< ... >>> (d_A,n);
}

Your psuedocode does not "add memory to a previously allocated array" at all. The standard C way of increasing the size of an existing allocation is via the realloc() function, and there is no CUDA equivalent of realloc() at the time of writing.

When you do

cudaMalloc(d_A....)

// something

cudaMalloc(d_A....)

all you are doing is creating a new memory allocation and assigning it to d_A. The previous memory allocation still exists, but now you have lost the pointer value of the previous memory and have no way of accessing it. Based on this and your previous question on almost the same subject, might I suggest you spend a bit of time revising memory and pointer concepts in C before you try CUDA, because unless you have a very clear understanding of these fundamentals, you will find the distributed memory nature of CUDA to be very confusing,

I'm not sure what complications cuda adds to the mix(?) but in c you can't add memory to an already allocated array.

If you want to grow a malloc'd array, you need to malloc a new array of the size you need and copy the contents from the existing array.

If you're doing this often then it's probably worth mallocing more than you need each time to avoid costly (in terms of processing time) re-allocation operations.