Giter Site home page Giter Site logo

fiber-job-system's Introduction

fiber-job-system

This library offers a multi-threaded job-system, powered by fibers. There are three job queues with different priorities. Jobs can wait for each other (which allows synchronization between them).

Based on ideas presented by Christian Gyrling in his 2015 GDC presentation Parallelizing the Naughty Dog Engine Using Fibers

Practical Example

void test_job_1(int* x)
{
	std::cout << "test_job_1 with " << *x << std::endl;
	(*x)++;
}

struct test_job_2
{
	void Execute(int* x)
	{
		std::cout << "test_job_2::Execute with " << *x << std::endl;
		(*x)++;
	}

	void operator()(int* x)
	{
		std::cout << "test_job_2::operator() with " << *x << std::endl;
		(*x)++;
	}
};

void main_test(fjs::Manager* mgr)
{
	int count = 1;

	// 1: Function
	mgr->WaitForSingle(fjs::JobPriority::Normal, test_job_1, &count);

	// 2: Lambda
	mgr->WaitForSingle(fjs::JobPriority::Normal, [&count]() {
		std::cout << "lambda with " << count << std::endl;
		count++;
	});

	// 3: Member Function
	test_job_2 tj2_inst;
	mgr->WaitForSingle(fjs::JobPriority::Normal, &test_job_2::Execute, &tj2_inst, &count);

	// 3: Class operator()
	mgr->WaitForSingle(fjs::JobPriority::Normal, &tj2_inst, &count);

	// Counter
	fjs::Counter counter(mgr);

	// It's also possible to create a JobInfo yourself
	// First argument can be a Counter
	fjs::JobInfo test_job(&counter, test_job_1, &count);
	mgr->ScheduleJob(fjs::JobPriority::Normal, test_job);
	mgr->WaitForCounter(&counter);

	// List / Queues
	fjs::List list(mgr);
	list.Add(fjs::JobPriority::Normal, test_job_1, &count);
	//list += test_job; This would be unsafe, Jobs might execute in parallel

	list.Wait();

	fjs::Queue queue(mgr, fjs::JobPriority::High); // default Priority is high
	queue.Add(test_job_1, &count);
	queue += test_job; // Safe, Jobs are executed consecutively

	queue.Execute();
}

int main()
{
	fjs::Manager manager;
	if (manager.Run(main_test) != fjs::Manager::ReturnCode::Succes)
		return -1;

	return 0;
}

Job Callbacks

Job Callbacks have a few limitations: All arguments must be trivial and the total size of a callback is limited to 32 bytes (x86) or to 64 bytes (x64). (Capturing) Lambdas, Member Functions are also supported.

JobInfo Struct

The JobInfo Struct holds a Job callback and a Counter. There are a number of constructors supporting all Callback types. In most cases, you are not required to create a JobInfo instance yourself, the only exception are the operator+= overrides, read more about them below.

Scheduling Jobs

void main_test(fjs::Manager* mgr)
{
	int x = 999;
	mgr->ScheduleJob(fjs::JobPriority::Normal, job_increment_number, &x);
	// NOTE: The execution continues here, the Job is executed in another Thread.
}

JobPriority

enum class JobPriority : uint8_t
{
	High,		// Jobs are executed ASAP
	Normal,
	Low
};

Advanced Usage

Creating a fjs::Manager

You can configure your fjs::Manager object by passing a fjs::ManagerOptions instance to the constructor. Although it is disabled by default, I recommend enabling ThreadAffinity to lock each Worker Thread to a Queue. For more information, read http://eli.thegreenplace.net/2016/c11-threads-affinity-and-hyperthreading/

struct ManagerOptions
{
	// Threads & Fibers
	uint8_t NumThreads;						// Amount of Worker Threads, default = amount of Cores
	uint16_t NumFibers = 25;				// Amount of Fibers
	bool ThreadAffinity = false;			// Lock each Thread to a processor core, requires NumThreads == amount of cores

	// Worker Queue Sizes
	size_t HighPriorityQueueSize   = 512;	// High Priority
	size_t NormalPriorityQueueSize = 2048;	// Normal Priority
	size_t LowPriorityQueueSize    = 4096;	// Low Priority
	
	// Other
	bool ShutdownAfterMainCallback = true;	// Shutdown everything after Main Callback returns?
};

fjs::Counter

Constructed with a fjs::Manager, this class provides an atomic counter. It is incremented by each Job that is scheduled with the counter as a third parameter to fjs::JobInfo. Once the Job is finished, the counter is decremented.

void job_increment_number(int* number)
{
	(*number)++;
}

void main_test(fjs::Manager* mgr)
{
	int x = 999;

	fjs::Counter counter(mgr);
	mgr->ScheduleJob(fjs::JobPriority::High, job_increment_number, &x, &counter);

	mgr->WaitForCounter(&counter, 0);
}

fjs::Manager::WaitForCounter waits until the specified counter has the given value (= in this case 0).

fjs::List

Helper class for fjs::Counter. Scheduling jobs is done by using operator+= or the Add function. A default priority can be set in the constructor (2nd parameter, default is JobPriority::Normal).

void main_test(fjs::Manager* mgr)
{
	// NOTE: This example is unsafe since the Jobs might run in parallel, each reading & writing to x.
	int x = 999;

	fjs::List list(mgr, fjs::JobPriority::Normal);
	list += fjs::JobInfo(job_increment_number, &x); // Normal priority
	list.Add(job_increment_number, &x); // Normal Priority
	list.Add(fjs::JobPriority::Low, job_increment_number, &x); // Low priority
	list.Wait();
}

fjs::Queue

This class allows Jobs to be executed consecutively. It provides both operator+= and Add (similar to List). The Step() method executes and waits for the first Job in the Queue. The Execute() method executes (and waits) until the Queue is empty. Queues are not thread-safe, do not pass them to other Jobs.

void main_test(fjs::Manager* mgr)
{
	// NOTE: This example is safe since the Jobs write to x consecutively.
	int x = 999;

	fjs::Queue queue(mgr, fjs::JobPriority::Normal);
	queue += fjs::JobInfo(job_increment_number, &x);
	queue += fjs::JobInfo(job_increment_number, &x);
	queue.Add(fjs::JobPriority::Low, job_increment_number, &x);
	
	queue.Step(); // execute first
	queue.Execute(); // execute remaining
}

fiber-job-system's People

Contributors

freeeaky avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.