I am parallelizing my operation by splitting it in the exact number of cores available and then, by start the same number of AsyncTask, performing the same operation but on
You could also simply decrement a counter in a shared object as part of onPostExecute. As onPostExecute runs on the same thread (the main thread), you won't have to worry about synchronization.
UPDATE 1
The shared object could look something like this:
public class WorkCounter {
private int runningTasks;
private final Context ctx;
public WorkCounter(int numberOfTasks, Context ctx) {
this.runningTasks = numberOfTasks;
this.ctx = ctx;
}
// Only call this in onPostExecute! (or add synchronized to method declaration)
public void taskFinished() {
if (--runningTasks == 0) {
LocalBroadcastManager mgr = LocalBroadcastManager.getInstance(this.ctx);
mgr.sendBroadcast(new Intent("all_tasks_have_finished"));
}
}
}
UPDATE 2
According to the comments for this answer, OP is looking for a solution in which he can avoid building a new class. This can be done by sharing an AtomicInteger among the spawned AsyncTasks:
// TODO Update type params according to your needs.
public class MyAsyncTask extends AsyncTask {
// This instance should be created before creating your async tasks.
// Its start count should be equal to the number of async tasks that you will spawn.
// It is important that the same AtomicInteger is supplied to all the spawned async tasks such that they share the same work counter.
private final AtomicInteger workCounter;
public MyAsyncTask(AtomicInteger workCounter) {
this.workCounter = workCounter;
}
// TODO implement doInBackground
@Override
public void onPostExecute(Void result) {
// Job is done, decrement the work counter.
int tasksLeft = this.workCounter.decrementAndGet();
// If the count has reached zero, all async tasks have finished.
if (tasksLeft == 0) {
// Make activity aware by sending a broadcast.
LocalBroadcastManager mgr = LocalBroadcastManager.getInstance(this.ctx);
mgr.sendBroadcast(new Intent("all_tasks_have_finished"));
}
}
}