omp reduction clause

For example, if we would parallelize the previous for loops by simply adding #pragma omp parallel for we would introduce a data race, because multiple threads could try to update the shared variable at the same time.
More information about the specification of the reduction clause is available in the OpenMP specification on the page 201.
For example, if o and x sum then the statement is sum expr.Implementation How does OpenMP parallelize a for loop declared with a reduction clause?It simplifies the long expression a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 into promotion viande chez auchan something shorter sum.Initializer sets omp_priv to the identity of the reduction; this can be an expression or a brace initializer.The simplest solution is to eliminate the race condition by declaring a critical section : double result 0; #pragma omp parallel double local_result; int num omp_get_thread_num if (num0) local_result f(x else if (num1) local_result g(x else if (num2) local_result h(x #pragma omp critical result local_result;.

Top Initial value for reductions The treatment of initial values in reductions is slightly involved.The threads then perform the following computations Thread 1 sumloc_1 a0 a1 a2 Thread 2 sumloc_2 a3 a4 a5 Thread 3 sumloc_3 a6 a7 a8 In the end, when the treads join together, OpenMP reduces local copies to the shared reduction variable sum sumloc_1 sumloc_2.It shows many meanings of a reduction.In section labelstring you saw an example, and it was stated that the solution given there was not very good.A similar argument argues that also the following example is a reduction product a0 * a1 * a2 * a3 * a4 * a5 * a6 * a7 * a8 *.Jakas Corner OpenMP series: « Previous post Next post ».Discuss the various options.
Even though the threads write to separate variables, those variables are likely to be on the same cacheline (see hpscrefsec:falseshare for an explanation).

We looked at the specifications of the clause and familiarized ourselves with its implementational details.