void myQuickSort(std::vector < T > &myVec, int q, int r,
const int switchThresh)
{
T pivot;
int i, j;
/* done with this part of the vector? -> exit function */
if (q >= r)
return;
/* is the partition to be processed smaller than a certain threshhold?
* -> then use insertion sort and exit function afterwards */
if (r - q < switchThresh) {
myInsertSort(myVec, q, r);
return;
}
/* now actually sort our partition */
/* choose pivot, initialize borders */
pivot = myVec[r];
i = q - 1;
j = r;
/* partition step, which moves smaller numbers to the left
* and larger numbers to the right of the pivot */
while (true) {
while (myVec[++i] < pivot);
while (myVec[--j] > pivot);
if (i >= j)
break;
std::swap(myVec[i], myVec[j]);
}
std::swap(myVec[i], myVec[r]);
/* recursively call yourself with new subpartitions,
* i is index of pivot
* each recursive function call is marked as a task, making parallel
* processing of them possible.
* note that this is only possible, because all partitions can be
* processed independently of each other.
*/
# pragma intel omp taskq
{
# pragma intel omp task
{
myQuickSort(myVec, q, i - 1, switchThresh);
}
# pragma intel omp task
{
myQuickSort(myVec, i + 1, r, switchThresh);
}
}
}
void myQuickSort(std::vector < T > &myVec, int q, int r,
const int switchThresh, std::stack < std::pair < int,
int > >&globalTodoStack, int &numBusyThreads,
const int numThreads,
std::vector < int >&globalStackWrite)
{
T pivot;
int i, j;
/* this pair consists of the new q and r values */
std::pair < int, int >myBorder;
/* this variable indicates, whether the present thread does useful work atm */
bool idle = true;
/* only thread number 0 does useful work in the beginning */
if (q != r)
idle = false;
while (true) {
/* is the partition to be processed smaller than a certain threshhold?
* -> then use insertion sort */
if (r - q < switchThresh) {
myInsertSort(myVec, q, r);
/* and mark the region as sorted, by setting q to r, which makes
* the thread run into the next while loop, where it requests
* new work
*/
q = r;
}
/* are we done with this part of the vector?
* -> then pop another one off the todo-Stack and process it
*/
while (q >= r) {
/* only one thread at the time should access the todo-Stack and
* the numBusyThreads and idle variables */
# pragma omp critical
{
/* something left on the global stack to do? */
if (false == globalTodoStack.empty()) {
if (true == idle)
++numBusyThreads;
idle = false;
myBorder = globalTodoStack.top();
globalTodoStack.pop();
q = myBorder.first;
r = myBorder.second;
globalStackWrite[omp_get_thread_num()]++;
/* nothing left to do on the stack */
} else {
if (false == idle)
--numBusyThreads;
idle = true;
/* busy wait here (not optimal) */
}
} /* end critical section */
/* if all threads are done, break out of this function
* note, that the value of numBusyThreads is current, as there
* is a flush implied at the end of the last critical section */
if (numBusyThreads == 0) {
return;
}
} /* end while ( q >= r ) */
/* now actually sort our partition */
/* choose pivot, initialize borders */
pivot = myVec[r];
i = q - 1;
j = r;
/* partition step, which moves smaller numbers to the left
* and larger numbers to the right of the pivot */
while (true) {
while (myVec[++i] < pivot);
while (myVec[--j] > pivot);
if (i >= j)
break;
std::swap(myVec[i], myVec[j]);
}
std::swap(myVec[i], myVec[r]);
/* only push on the stack, if there is enough left to do */
if (i - 1 - q > switchThresh) {
myBorder = std::make_pair(q, i - 1);
# pragma omp critical
{
globalTodoStack.push(myBorder);
globalStackWrite[omp_get_thread_num()]++;
}
} else {
/* for small partitions use insertion sort */
myInsertSort(myVec, q, i - 1);
}
q = i + 1;
/* r stays the same for the next iteration */
}
}
