Serializing access to Streams -- Marco Foco

A new blog post containing runnable code from the Italian C++ Community:

Serializing access to Streams

by Marco Foco

From the article:

Two or more threads were writing to cout using the form:

cout << someData << "some string" << someObject << endl;

And one of the problems was that data sent from one thread often interrupted another thread, so the output was always messed up. [...] I started designing a solution by giving myself some guidelines, here listed in order of importance...

Range comprehensions with C++ lazy generators -- Paolo Severini

From a totally unnecessary blog (we beg to differ):

Range comprehensions with C++ lazy generators

by Paolo Severini

From the article:

Lazy evaluation is a powerful tool and a pillar of functional programming; it gives the ability to construct potentially infinite data structures, and increases the performance by avoiding needless calculations ...

... Functional languages like Haskell have the concept of list comprehensions ... In C#, of course, we have LINQ ... It would be nice to have something similar in an eager language like C++ ... now the lazy, resumable generators proposed by N4286 seem perfect for this purpose ... We can use the VS2015 CTP prototype to experiment with this idea ...

Lock-Free Data Structures. The Evolution of a Stack -- Max Khiszinsky

Max Khiszinsky describes in his recent blog article different approaches to develop concurrent containers.

Lock-Free Data Structures. The Evolution of a Stack

by Max Khiszinsky

From the article

Describing the known algorithms would be quite boring, as there would be a lot of [pseudo-]code, plenty of details that are important but quite specific. After all, you can always find them in the references I provide in articles. What I wanted was to tell you an interesting story about exciting things. I wanted to show the development of approaches to designing concurrent containers.

C++ SIMD parallelism with Intel Cilk Plus and OpenMP 4.0

A new video from Meeting C++ 2014

C++ SIMD parallelism with Intel Cilk Plus and OpenMP 4.0

by Georg Zitzlsberger

From the talk description:

Performance is one of the most important aspects that comes to mind if deciding for a programming language. Utilizing performance of modern processors is not as straight forward as it has been decades ago. Modern processors only rarely improve serial execution of applications by increasing their frequency or adding more execution units.

Generic Parallel Programming

A new video from Meeting C++ 2014:

Generic parallel programming for scientific and technical applications

by Guntram Berti

From the talk description:

Technical and scientific applications dealing with a high computational load today face the challenge to match the increasingly parallel nature of current and future hardware. The talk shows how the increased complexity of software can be controlled by using generic programming technologies. The process and its advantages are introduced using many concrete examples...

The C++ Memory Model - Valentin Ziegler @ Meeting C++ 2014

A new video from Meeting C++ 2014:

The C++ Memory Model

by Valentin Ziegler

From the talk description:

The C++ memory model defines how multiple threads interact with memory and shared data, enabling developers to reason about concurrent code in a platform independent way. The talk will explain multi-threaded executions and data races in C++...

Generating OpenCL/CUDA source code from C++ expressions in VexCL

A solution to generate code for CUDA and OpenCL with C++:

Generating OpenCL/CUDA source code from C++ expressions in VexCL

by Denis Demidov

From the talk description:

VexCL is an opensource C++ vector expression template library for OpenCL/CUDA. It has been created for ease of GPGPU development with C++ and provides convenient and intuitive notation for linear algebra operations, vector arithmetic and various parallel primitives.

HPX version 0.9.9 released -- STE||AR Group

The STE||AR Group has released V0.9.9 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.9 Released

The newest version of HPX (V0.9.9) is now available for download! Please see here for the release notes.

HPX now exposes an API fully conforming to the concurrency related parts of the C++11 and C++14 standards, extended and applied to distributed computing.

From the announcement:

  • We completed the refactoring of hpx::future to be properly C++11 standards conforming.
  • We overhauled our build system to support newer CMake features to make it more robust and more portable.
  • We implemented a large part of the parallel algorithms and other parallel facilities proposed by C++ Technical Specifications N4104, N4088, and N4107.
  • We added many examples such as the 1D Stencil and the Matrix Transpose series.
  • We significantly improved the performance of the library and the existing documentation