#pragma omp parallel { int x; // private to each thread ? } #pragma omp parallel for for (int i = 0; i < 1000; ++i) { int x; // private to each thread ? }
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P.S. If local variables are automatically private, what is the point of using private clause?
The data-sharing attribute of variables, which are declared outside the parallel region, is usually shared. Therefore, n and a are shared variables. The loop iteration variables, however, are private by default.
The private clause declares the variables in the list to be private to each thread in a team. The firstprivate clause provides a superset of the functionality provided by the private clause. The private variable is initialized by the original value of the variable when the parallel construct is encountered.
The OpenMP API provides a relaxed-consistency, shared-memory model. All OpenMP threads have access to a place to store and to retrieve variables, called the memory. In addition, each thread is allowed to have its own temporary view of the memory.
Yes, local variables are automatically private.
The reason for the existence of the private
clause is so that you don't have to change your code.
The only way to parallelize the following code without the private clause
int i,j; #pragma omp parallel for private(j) for(i = 0; i < n; i++) { for(j = 0; j < n; j++) { //do something } }
is to change the code. For example like this:
int i #pragma omp parallel for for(i = 0; i < n; i++) { int j; for(j = 0; j < n; j++) { //do something } }
That's perfectly valid C89/C90 code but one of the goals of OpenMP is not have to change your code except to add pragma
statements which can be enabled or disabled at compile time.
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