I have been working on this thread pool for awhile to make it as simple to use as possible. I need some tips on improving performance, and some good ways to test its performance. I was wondering if anyone had any opinions/suggestions!
Here is the class:
#pragma once
#include<thread>
#include<vector>
#include<queue>
#include<mutex>
#include<condition_variable>
#include<functional>
#include<future>
#define MAX_THREADS std::thread::hardware_concurrency() - 1;
//portable way to null the copy and assignment operators
#define NULL_COPY_AND_ASSIGN(T) \
T(const T& other) {(void)other;} \
void operator=(const T& other) { (void)other; }
/* ThreadPool class
It is a singleton. To prevent spawning
tons of threads, I made it a singleton */
class ThreadPool{
public:
//getInstance to allow the second constructor to be called
static ThreadPool& getInstance(int numThreads){
static ThreadPool instance(numThreads);
return instance;
}
//add any arg # function to queue
template <typename Func, typename... Args >
inline auto push(Func&& f, Args&&... args){
//get return type of the function
typedef decltype(f(args...)) retType;
//package the task
std::packaged_task<retType()> task(std::move(std::bind(f, args...)));
// lock jobqueue mutex, add job to the job queue
std::unique_lock<std::mutex> lock(JobMutex);
//get the future from the task before the task is moved into the jobqueue
std::future<retType> future = task.get_future();
//place the job into the queue
JobQueue.emplace( std::make_shared<AnyJob<retType> > (std::move(task)) );
//notify a thread that there is a new job
thread.notify_one();
//return the future for the function so the user can get the return value
return future;
}
/* utility functions will go here*/
inline void resize(int newTCount){
int tmp = MAX_THREADS;
if(newTCount > tmp || newTCount < 1){
tmp = numThreads;
numThreads = MAX_THREADS;
Pool.resize(newTCount);
for (int i = tmp; i != numThreads; ++i) {
Pool.emplace_back(std::thread(&ThreadPool::threadManager, this));
Pool.back().detach();
}
}
else if (newTCount > numThreads) {
uint8_t tmp = numThreads;
numThreads = newTCount;
Pool.resize(numThreads);
for (int i = tmp; i != numThreads; ++i) {
Pool.emplace_back(std::thread(&ThreadPool::threadManager, this));
Pool.back().detach();
}
}
else {
numThreads = (uint8_t)newTCount;
Pool.resize(newTCount);
}
}
inline uint8_t getThreadCount(){
return numThreads;
}
private:
//used polymorphism to store any type of function in the job queue
class Job {
private:
std::packaged_task<void()> func;
public:
virtual ~Job() {}
virtual void execute() = 0;
};
template <typename RetType>
class AnyJob : public Job {
private:
std::packaged_task<RetType()> func;
public:
AnyJob(std::packaged_task<RetType()> func) : func(std::move(func)) {}
void execute() {
func();
}
};
// end member classes
//member variables
uint8_t numThreads; // number of threads in the pool
std::vector<std::thread> Pool; //the actual thread pool
std::queue<std::shared_ptr<Job>> JobQueue;
std::condition_variable thread;// used to notify threads about available jobs
std::mutex JobMutex; // used to push/pop jobs to/from the queue
//end member variables
/* infinite loop function */
inline void threadManager() {
while (true) {
std::unique_lock<std::mutex> lock(JobMutex);
thread.wait(lock, [this] {return !JobQueue.empty(); });
//strange bug where it will continue even if the job queue is empty
if (JobQueue.size() < 1)
continue;
(*JobQueue.front()).execute();
JobQueue.pop();
}
}
/* Constructors */
ThreadPool(); //prevent default constructor from being called
//real constructor that is used
inline ThreadPool(uint8_t numThreads) : numThreads(numThreads) {
int tmp = MAX_THREADS;
if(numThreads > tmp){
numThreads = tmp;
}
Pool.reserve(numThreads);
for(int i = 0; i != numThreads; ++i){
Pool.emplace_back(std::thread(&ThreadPool::threadManager, this));
Pool.back().detach();
}
}
/* end constructors */
NULL_COPY_AND_ASSIGN(ThreadPool);
}; /* end ThreadPool Class */
Here is example usage:
#include "ThreadPool.h"
#include <iostream>
int main(){
ThreadPool& pool = ThreadPool::getInstance(4); //create pool with 4 threads
auto testFunc = [](int x){ return x*x; };
auto returnValue = pool.push(testFunc, 5);
std::cout << returnValue.get() << std::endl;
return 0;
}
