\n"; } std::cout << "With a chunksize of 2:" << std::endl; // Parallelise the for loop using the dynamic schedule and chunks of 2 iterations #pragma omp parallel for schedule(dynamic, 2) for ( int i = 0; i < 10; ++ i ) { std::cout << "Thread " << omp_get_thread...
试想一下,如果我们将chunk等于5的话,那么openMP会为for工作共享构造分配3个线程,线程0、线程1会得到5的迭代量,线程2只能分配chunk=2的迭代量。因为12/5的余数为2。 schedule dynamic 子句 #pragma omp parallel for schedule(dynamic [,chunk]): 为多个并行的线程动态分配迭代量,这个迭代量保证并低于chunk指定的...
b[N],c[N];for(i=0;i<N;i++){a[i]=i;b[i]=i;}# num_threads的数量可以写在#pragma里面也可以放在外面,# 先指定线程数,再设定#pragmaomp parallel num_threads(2) shared(a,b) private(i){#pragmaomp for schedule(dynamic,100) nowaitfor(i=0;i<N;i++){c[i]=a[i]+b[i];}...
OMP_SCHEDULE:用于for循环并行化后的调度,它的值就是循环调度的类型; ** OMP_NUM_THREADS**:用于设置并行域中的线程数; ** OMP_DYNAMIC**:通过设定变量值,来确定是否允许动态设定并行域内的线程数; ** OMP_NESTED**:指出是否可以并行嵌套。 6. 简单的语句——开始并行! 前文讲到了openMP的语句方式,现在先...
int nthreads = getNumThreads(); #pragma omp parallel for schedule(dynamic) num_threads(nthreads) for(size_t f = 0; f < faces.size(); ++f) { GFace *gf = faces[f]; if(CTX::instance()->mesh.meshOnlyVisible && !gf->getVisibility()) continue; if(CTX::instance()->debugSurface >...
其中omp是OpenMP的一个关键字.在制导指令名 directive_name后可以附加参数parameters(子句clauses)等 选项. #pragmaompdirective-name[clause,...]newline 制导指令前缀。对 所有的OpenMP语 句都需要这样的前 缀。 OpenMP制导指 令。在制导指令前 缀和子句之间必须 有一个正确的 OpenMP制导指 令。 子句。在没有...
OpenMP schedule( spec) Clause Equivalent SCHEDTYPE(STATIC) schedule(static) SCHEDTYPE(SELF(chunksize)) schedule(dynamic,chunksize) Note: Default chunksize is 1. SCHEDTYPE(FACTORING(m)) No exact equivalent. SCHEDTYPE(GSS(m)) schedule(guided, m) Default m is 1.B...
schedule(dynamic,chunksize) Note: Defaultchunksizeis 1. SCHEDTYPE(FACTORING(m)) No exact equivalent. SCHEDTYPE(GSS(m)) schedule(guided,m) Defaultmis 1. B.2.1 Issues Between Legacy C Pragmas and OpenMP OpenMP scopes variables declared within a parallel construct asprivate. Adefault(none)clause ...
orderedSpecify this clause if an ordered construct is present within the dynamic extent of theomp fordirective. schedule (type)Specifies how iterations of theforloop are divided among available threads. Acceptable values fortypeare: dynamic
warning: ignoring #pragma omp parallel Getting this unexpected warning for theincbwtpart - I think you need to pass-fopenmptog++? On current HEAD