Consider the following implementation of a trivial thread pool written in C++14.
Observe that each thread is sleeping until it's been notified to awaken -- or some spurious wake up call -- and the following predicate evaluates to true
:
std::unique_lock<mutex> lock(this->instance_mutex_);
this->cond_handle_task_.wait(lock, [this] {
return (this->destroy_ || !this->tasks_.empty());
});
Furthermore, observe that a ThreadPool
object uses the data member destroy_
to determine if its being destroyed -- the destructor has been called. Toggling this data member to true
will notify each worker thread that it's time to finish its current task and any of the other queued tasks then synchronize with the thread that's destroying this object; in addition to prohibiting the enqueue
member function.
For your convenience, the implementation of the destructor is below:
ThreadPool::~ThreadPool() {
{
std::lock_guard<mutex> lock(this->instance_mutex_); // this line.
this->destroy_ = true;
}
this->cond_handle_task_.notify_all();
for (auto &worker : this->workers_) {
worker.join();
}
}
Q: I do not understand why it's necessary to lock the object's mutex while toggling destroy_
to true
in the destructor. Furthermore, is it only necessary for setting its value or is it also necessary for accessing its value?
BQ: Can this thread pool implementation be improved or optimized while maintaining it's original purpose; a thread pool that can pool N
amount of threads and distribute tasks to them to be executed concurrently?
This thread pool implementation is forked from Jakob Progsch's C++11 thread pool repository with a thorough code step through to understand the purpose behind its implementation and some subjective style changes.
I am introducing myself to concurrent programming and there is still much to learn -- I am a novice concurrent programmer as it stands right now. If my questions are not worded correctly then please make the appropriate correction(s) in your provided answer. Moreover, if the answer can be geared towards a client who is being introduced to concurrent programming for the first time then that would be best -- for myself and any other novices as well.