I have an algorithm, performing two-staged parallel reduction on GPU to find the smallest elemnt in a string. I know that there is a hint on how to make it work faster, but I don't know what it is. Any ideas on how I can tune this kernel to speed my program up? It is not necessary to actually change algorithm, may be there are other tricks. All ideas are welcome.
Thank you!
__kernel
void reduce(__global float* buffer,
__local float* scratch,
__const int length,
__global float* result) {
int global_index = get_global_id(0);
float accumulator = INFINITY
while (global_index < length) {
float element = buffer[global_index];
accumulator = (accumulator < element) ? accumulator : element;
global_index += get_global_size(0);
}
int local_index = get_local_id(0);
scratch[local_index] = accumulator;
barrier(CLK_LOCAL_MEM_FENCE);
for(int offset = get_local_size(0) / 2;
offset > 0;
offset = offset / 2) {
if (local_index < offset) {
float other = scratch[local_index + offset];
float mine = scratch[local_index];
scratch[local_index] = (mine < other) ? mine : other;
}
barrier(CLK_LOCAL_MEM_FENCE);
}
if (local_index == 0) {
result[get_group_id(0)] = scratch[0];
}
}