OpenMP® Forum

A "reference" implementation does help for any new feature trying to be added, because it gives the members something to look at and "play" with. However, it doesn't guarantee that the priority will be high. For example, individual vendors may not want to push a new feature into a "standard", becaus...

The committee is made up of individuals from each of the member organizations who generally have other responsibilities in their company than just OpenMP. Each topic for a new release is suggested by someone, prioritized, and voted on for possible inclusion. Once a candidate list is drawn up, someon...

Up to now, the change tickets have been for internal use only and have not been publicly released. In theory, Appendix F should contain a summary of the changes that have been made for each release. At this point, I am not sure that it is correct or not, because I am just starting to review the docu...

If the compiler you are using supports OpenMP, then they have to support either the include file omp_lib.h or the module named omp_lib. These contain the interfaces for the library routines and some variables that are OpenMP specific. Examples of the interface information is contained in the appendi...

The program shown is incorrect. You have specified "parallel for" but the next statement is not a for statement, but a block. I don't know what compiler you are using, but it should have given you an error. The program should look more like: #pragma omp parallel { cout<<omp_get_num_threads()<<endl; ...

That is correct. Microsoft hasn't changed their support of OpenMP in some time and doesn't support the task construct. You might look into alternatives such as the Intel compiler product that fits into the Microsoft VS framework and supports the later specifications.

You haven't specified what compiler you are using is or what the library is. The reason that it is suggested that you do the initialization in parallel is so that the portions of x are distributed across the caches of the processors. That way, if you are going to be operating on x in parallel in the...

It is possible, but not necessarily easy.

Without a parallel region the OpenMP directives will not be effective and the code will run in serial mode.

The general assumption is that the amount of work is the same over the loop iterations. That is why most implementations have the default be static for the schedule type and the chunk_size default to (basically) the (number of iterations)/(number of threads). So you generally don't have to specify t...