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$Pragma omp for example comma: >> http://zod.cloudz.pw/download?file=pragma+omp+for+example+comma << (Download) Pragma omp for example comma: >> http://zod.cloudz.pw/download?file=pragma+omp+for+example+comma << (Read Online) pragma omp parallel reduction openmp reduction multiple variables openmp reduction max openmp reduction sum pragma omp parallel for reduction example openmp reduction clause #pragma flush memory openmp reduction array Parallel region directive (cont). Example: fred();. #pragma omp parallel. { billy();. } Clauses are comma or space separated in Fortran, space separated in C/C++ The omp for directive instructs the compiler to distribute loop iterations within the team Only one collapse clause is allowed on a worksharing for or parallel for pragma. Data variables in list are separated by commas. lastprivate (list): Declares the For example, when the max operator is specified, the original reduction 22 Feb 2012 You can do reduction by specifying more than one variable separated by a comma, i.e. a list: #pragma omp parallel for default(shared) reduction(+:sum,result) Private See https://computing.llnl.gov/tutorials/openMP/#REDUCTION What if there are different operations to be performed e.g. + and max ? The omp sections directive distributes work among threads bound to a defined Data variables in list are separated by commas. firstprivate (list): Declares the 3. Parallel region directive (cont). Example: fred();. #pragma omp parallel. { billy();. } Clauses are comma or space separated in Fortran, space separated in. A comma-separated list of variables that represent objects you want to Example #pragma omp section { while (!flag) { #pragma omp flush(flag) } #pragma The omp distribute directive specifies that the iterations of one or more loops will be Data variables in list are separated by commas. lastprivate(list): Similar to private. Example. const int N = 8; int a[N]; #pragma omp target map(to: N) #pragma omp threadprivate(var) A comma-separated list of variables that you want to make private to a For a sample of using threadprivate , see private. omp_reduction.cpp // compile with: /openmp #include #include ++i) nSum += i; #pragma omp sections reduction(&& : bSucceed) { #pragma$