openMP conditional pragma "if else"

Question

I have a for loop that can be executed using schedule(static) or schedule(dynamic, 10) depending on a condition. Currently, My code is not DRY (Don't repeat yourself) enough and to accommodate the previous functionality it has the following repetition:

boolean isDynamic; //can be true or false
if(isDynamic){
    #pragma omp parallel for num_threads(thread_count) default(shared) private(...) schedule(dynamic, 10)
    for(...){
        //for code inside
    }
}else{
    #pragma omp parallel for num_threads(thread_count) default(shared) private(...) schedule(static)
    for(...){
        //SAME for code inside, in fact, this is the EXACT same for as before
    }
}

After reading these threads, I noticed that openMP has an #if(expression) pragma:

• OpenMP: conditional use of #pragma
• http://msdn.microsoft.com/en-us/library/5187hzke.aspx
• Choose OpenMP pragma according to condition
• Conditional "pragma omp"
• http://openmp.org/mp-documents/ntu-vanderpas.pdf

But although I've seen many people with my problem, there seems to be lacking a general solution. The best solution is to transform the body of the for loop into a function, and then have the function called, but this solution is not good enough for me.

So I wonder, does OpenMP have an #if(expression) else sort of pragma? Something like:

#if(isDynamic )pragma omp parallel for num_threads(thread_count) default(shared) 
private(...) schedule(dynamic, 10) 
else 
pragma omp parallel for num_threads(thread_count) default(shared) 
private(...) schedule(static)

Or am I forced to place my for loop body into a separate function and call it that way?

Answer 1

This is an interesting question. Basically, you want to change schedule policy at runtime. As far as I know, there is no such directive for the current OpenMP.

I had the exactly same problem you did. My solution ended up making the loop body as a function, as you mentioned. Otherwise, you need to use an ugly macro.

However, I also tried to use schedule(runtime), which reads the environment variable OMP_SCHEDULE. So, I changed this environment variable at runtime, but didn't work. It's because OpenMP runtime read this environment only once at the beginning. It may be an implementation-specific issue. So, other implementation may read this environment variable on the fly. You may try this approach.