Question

This is my code. I have lot of threads so that those threads calling this function many times.
Inside this function I am creating an array. It is an efficient implementation?? If it is not please suggest me the efficient implementation.

__device__ float calculate minimum(float *arr)
 {
     float vals[9];      //for each call to this function I am creating this arr
                        // Is it efficient?? Or how can I implement this efficiently?
                        // Do I need to deallocate the memory after using this array?
     for(int i=0;i<9;i++)
         vals[i] = //call some function and assign the values
     float min = findMin(vals);
     return min;
 }

Answer 1

There is no “array creation” in that code. There is a statically declared array. Further, the standard CUDA compilation model will inline expand __device__functions, meaning that the vals will be compiled to be in local memory, or if possible even in registers.

All of this happens at compile time, not run time.