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atomic_conditional's Introduction

Atomic Conditional

This is a nice concept that provides the behaviour of a condition variable's notify all; parlance of pthreads, a broadcast, while in windows land, that's a wake all or wake by all.

The idea:

  • Some object of type Foo is worked on by a thread
  • We have many Foo object types that are being worked on by indepedent threads
  • Each thread performs the same validation based on the Foo object
  • Some thread ends execution if the Foo object dictates it so
  • The work of one thread ending based on the state of a Foo translates to all threads working on Foo to complete in the same fashion.

Using Atomics

Using atomics provides a smooth way to improve interprocess communication for this style of notification. While underlying implementations for condition variables on particular platforms may indeed invoke atomics, more generally, their approach is to hold onto a mutex.

While holding onto a mutex is alright, notification to all threads is invariably a loop construct, and suffers with linear response, and can be subject to pre-emption by the OS scheduler.

The downside to using atomics, is that the entire scheduled time slice is being used in an effective spin-lock on the atomic condition variable, and not inherent thread yield occurs if the condition is not met. This is really raw, down to the wire type of stuff.

How to provide object level atomic interprocess notification ?

The mechanism for providing the object level notification system is through the C++ static keyword. Making a static class member variable std::atomic will provide the primary mechanism.

static std::atomic_[type]   _conditional;

This is very raw and low level. As we will see. There are approaches for making this more palatable for users that are averse to dealing with such constructs.

A guided approach to conditional atomics for Object Types

This is broken into a number of different sections.

Code

/// \file header.h

class MyClass
{
public:
    /// .. code snip ..

    static std::atomic_bool accessible_;

    /// .. code snip ..
};


/// \file header.cpp

std::atomic_bool MyClass::accessible_ { false };

Making queries, setting accessible_

In a reasonable world, we want to remain sequentially consistent. Where we want to improve, we remove the reigns, and ask the horse to run free.

Queries

In the processing thread's work function, we must check the class static member variable, to ensure whether the object should be accessible or not:

    do_thing( Foo &obj )
    {
        if( Foo::accessible_.load() )
        {
            obj.do_stuff();
        }
    }

As each object is running the same code, each thread will synchronise their loads with any stores across other threads.

In the form written above, we perform the atomic load() operation with sequentially consistent memory ordering.

Setting accessible_

In which ever is the controller thread, ie, the one that dictates that for all the Foo object types its accessible_ static member variable should be flipped, we perform the following:

    bool finish_work = Foo::accessible_.load();
    while(!Foo::accessible_.compare_exchange_weak(finish_work, true));

It is important to note that in the example provided, this is performed from the main thread, however, this could just as easily be applied from any thread.. hence the weakly ordered CAS operation. There are alternatives to this notation. One could perform a hard store,

    Foo::accessible_.store(true);

An exchange,

    Foo::accessible_.exchange(true);

Use a strongly typed CAS..

    bool finish_work = Foo::accessible_.load();
    while(!Foo::accessible_.compare_exchange_strong(finish_work, true));

When we perform our CAS loops, whether they be weak or strong, there is a nice optimisation we can make.

    bool finish_work = Foo::accessible_.load();
    while(!Foo::accessible_.compare_exchange_weak(finish_work, true)
          && !finish_work);

It is entirely possible that another thread may well have changed the value of finish_work to that which we desire, true. Without the !finish_work, we would performing another loop before trying to write true again to finish_work.

Funky Queries with relaxed Memory Ordering

It's time to rock on :D

Synchronize your loads and your stores.

Compiling

Windows 10, Visual Studio 2017 15 Win64

Enable vcvars.bat amd64

cl /EHsc main.cpp

Windows Ubuntu g++ 5....

g++ -std=c++14 -Wall -Werror -pedantic -O3 -lpthread main.cpp -o lnxwin_main

Linux g++ 5.4.1

g++ -std=c++14 -Wall -Werror -pedantic -O3 -lpthread main.cpp -o lnxwin_main

Linux g++ 6.3.0

g++ -std=c++14 -Wall -Werror -pedantic -O3 -lpthread main.cpp -o lnxwin_main

Cmake :D

Out of source build:

Windows

    cmake .. -G "Visual Studio 2017 15 Win64" -DCMAKE_INSTALL_PREFIX=./install
    cmake --build . --target all_build --config Release
    cmake --build . --target install --config Release

*nix

    cmake .. -DCMAKE_INSTALL_PREFIX=./install -DCMAKE_BUILD_TYPE=Release
    make
    make install

Results

Once the concept is firmed up and solidifed, it's nice to explore and test your approaches. This concept is situational, and it is important to see how it fits in with what you are writing and what you are writing for.

This may seem neat, but it may not totally apply. You should consult your architecture.

Darwin - 2 cores, 3 threads - OSX 10.11, clang 8.xxxx

Linux - 8 cores, 3 threads - Ubuntu 16.04 4.4.0, g++ 6.30

Assembly

http://godbolt.org

Linux - 8 cores, 3 threads - Ubuntu 16.04 4.4.0, g++ 5.4.1

Assembly

http://godbolt.org

Windows - 8 cores, 3 threads - MSVC 15 Win64

Windows - 8 cores, 3 threads - Ubuntu ....., g++ v????

Assembly

http://godbolt.org

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