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+<ompts:test>
+<ompts:testdescription>Test which checks the omp threadprivate directive by filling an array with random numbers in an parallelised region. Each thread generates one number of the array and saves this in a temporary threadprivate variable. In a second parallelised region the test controls, that the temporary variable contains still the former value by comparing it with the one in the array.</ompts:testdescription>
+<ompts:ompversion>2.0</ompts:ompversion>
+<ompts:directive>omp threadprivate</ompts:directive>
+<ompts:dependences>omp critical,omp_set_dynamic,omp_get_num_threads</ompts:dependences>
+<ompts:testcode>
+/*
+ * Threadprivate is tested in 2 ways:
+ * 1. The global variable declared as threadprivate should have
+ * local copy for each thread. Otherwise race condition and
+ * wrong result.
+ * 2. If the value of local copy is retained for the two adjacent
+ * parallel regions
+ */
+#include "omp_testsuite.h"
+#include <stdlib.h>
+#include <stdio.h>
+
+static int sum0=0;
+static int myvalue = 0;
+
+<ompts:check>#pragma omp threadprivate(sum0)</ompts:check>
+<ompts:check>#pragma omp threadprivate(myvalue)</ompts:check>
+
+
+int <ompts:testcode:functionname>omp_threadprivate</ompts:testcode:functionname>(FILE * logFile)
+{
+ int sum = 0;
+ int known_sum;
+ int i;
+ int iter;
+ int *data;
+ int size;
+ int failed = 0;
+ int my_random;
+ omp_set_dynamic(0);
+
+ #pragma omp parallel private(i)
+ {
+ sum0 = 0;
+ #pragma omp for
+ for (i = 1; i <= LOOPCOUNT; i++)
+ {
+ sum0 = sum0 + i;
+ } /*end of for*/
+ #pragma omp critical
+ {
+ sum = sum + sum0;
+ } /*end of critical */
+ } /* end of parallel */
+ known_sum = (LOOPCOUNT * (LOOPCOUNT + 1)) / 2;
+ if (known_sum != sum ) {
+ fprintf (logFile, " known_sum = %d, sum = %d\n", known_sum, sum);
+ }
+
+ /* the next parallel region is just used to get the number of threads*/
+ omp_set_dynamic(0);
+ #pragma omp parallel
+ {
+ #pragma omp master
+ {
+ size=omp_get_num_threads();
+ data=(int*) malloc(size*sizeof(int));
+ }
+ }/* end parallel*/
+
+
+ srand(45);
+ for (iter = 0; iter < 100; iter++){
+ my_random = rand(); /* random number generator is called inside serial region*/
+
+ /* the first parallel region is used to initialiye myvalue and the array with my_random+rank*/
+ #pragma omp parallel
+ {
+ int rank;
+ rank = omp_get_thread_num ();
+ myvalue = data[rank] = my_random + rank;
+ }
+
+ /* the second parallel region verifies that the value of "myvalue" is retained */
+ #pragma omp parallel reduction(+:failed)
+ {
+ int rank;
+ rank = omp_get_thread_num ();
+ failed = failed + (myvalue != data[rank]);
+ if(myvalue != data[rank]){
+ fprintf (logFile, " myvalue = %d, data[rank]= %d\n", myvalue, data[rank]);
+ }
+ }
+ }
+ free (data);
+
+ return (known_sum == sum) && !failed;
+
+} /* end of check_threadprivate*/
+</ompts:testcode>
+</ompts:test>
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