Skip to main content

C++ Multithreading - Basic thread creation

C++11 standard introduces integrated sublibrary for multithreading. It has been moved from Boost library. However because multithreading is very important topic in software development I decided to make multithreading tutorial as separate section of this blog.

I will not explain here theory about multithreading, but I will try to explain usage of multithreading based on thread library from C++11 standard. If theory explanation will be required for some aspects I will try to put links to separate articles explaining them.

Introduction theory about multithreading you can find on Wikipedia article here

This article will present basic threads creation and usage in C++. Code of example you can find here:
Output of the example is (it can be little other - depends how thread will be invoked by OS):
In point I we are creating new thread where print() function will be invoked. This thread will work in parallel to the main function (main application is second thread called main thread)

Point II shows printing values using for loop invoked from main thread.

Point III is invoking function join() which will wait until thread1 will finish. This is basic synchronization. Without that function there is possible that we will receive termination error if main thread finished and thread1 did not finished its job.

If we do not want to wait until thread1 will finish and do not want to receive termination error we could use detach() function (look point IV). Thanks to that function thread1 will be detached from our main application and will work in the background as deamon thread. We will be able to operate our next function without waiting for its finish if we do not need it.

Of course output of this example can be different on your machine. It depends how your OS schedule threads invoking. Threads are managed by OS so you can see different results if your threads are not synchronized properly. This is basic application so it does not contain sophisticated thread synchronization. I will explain how to synchronize threads in next articles.

This is first basic tutorial which presents how to create basic thread to run two separate function in parallel. In next multithreading articles I will show how to pass parameters for multithreading functions, return values, synchronize variables between threads and other thread-related topics.

Code of this example you can find on our GitHub account here: https://github.com/xmementoit/CppAdventureExamples/tree/master/multithreading/basicThreads

Source: http://www.javastudychannel.com/attachments/Resources/5002-23399-Multi-threaded-program.jpg

Comments

Post a Comment

Popular posts from this blog

STL - count and count_if algorithms

One of the basic and most useful STL algorithms is algorithm which can be used to count number of elements within selected container according to specified criteria. In order to do that we can use std::count or std::count_if algorithm. std::count (firstElementIterator, lastElementIterator, elementForSearch) - is function which will go through container using firstElementIterator and lastElementIterator and return number of container elements which value is equal elementForSearch std::count_if (firstElementIterator, lastElementIterator, UnaryPredicateFunction) - is function which examine range from firstElementIterator to lastElementIterator and return number of container elements which fulfill UnaryPredicateFunction criteria. UnaryPredicateFunction is function having following signature: bool functionName(const Type& a) . So, count_if returns number of elements where UnaryPredicateFunction returns true for. For better understanding let's take a...

Blog's new layout

As you noticed this blog has new layout from today. I hope you like it. I think new layout looks better and more modern than previous one. Please, write you opinion about new layout in comments. If you have some ideas how to make this blog better, all ideas are welcomed. Enjoy new layout and blog articles.

C++14 - Tuple addressing via type

Today I would like to introduce one of new features which will arrive to C++ with new language standard (C++14) which is going to be release in 2014. In order to compile example from this article you need to have compiler supporting C++14 standard. The newest version of GCC supports it. I would like to introduce you features called Tuple addressing via type which allows us to get tuple element value using type name instead of tuple parameter number. Of course it is possible only for type names which are not ambiguous. Let's take a look on below example for better understanding: In point I we are declaring our tuple type containng of 2 int elements and on string element. In point II we are using std::get function to get values of our tuple typed variable using tuple parameters numbers. This feature is well known from C++11 standard. Point III shows new (introduced in C++14 standard) way of getting values of tuple elements. We are getting string type element using...