parallelism

HPX version 0.9.11 released—STE||AR Group

The STE||AR Group has released V0.9.11 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.11 Released

The newest version of HPX (V0.9.11) is now available for download! Please see here for the release notes.

HPX 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:

  • In this release our team has focused on developing higher level C++ programming interfaces which simplify the use of HPX in applications and ensure their portability in terms of code and performance. We paid particular attention to align all of these changes with the existing C++ Standard or with the ongoing standardization work. Other major features include the introduction of executors and various policies which enable customizing the ‘where’ and ‘when’ of task and data placement.
  • This release consolidates many of the APIs exposed by HPX. We introduced a new uniform way of creating (local and remote) objects, we added distribution policies allowing to manage and customize data placement and migration, we unified the way various types of parallelism are made available to the user.

the asynchronous library - Christophe Henry @ Meeting C++ 2014

A new video from Meeting C++ 2014:

the asynchronous library

by Christophe Henry

From the talk description:

An infrastructure library on which Boost Meta State Machine can build. This will be provided by the Asynchronous library: Active Objects, proxies, threadpools, parallelization algorithms, work-stealing, distributed programming...

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

HPX version 0.9.8 released—STE||AR Group

The STE||AR Group has released V0.9.8 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.8 Released

The newest version of HPX (V0.9.8) 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 the draft C++14 standards, extended and applied to distributed computing.

From the announcement:

  • A large part of the code base of HPX has been refactored and partially re-implemented: the threading and networking subsystems have been improved in performance, modularity, and robustness, the API was improved for closer conformance to the concurrency related parts of the C++11 and C++14 draft standards and the upcomming Concurrency TS.
  • We added new API functionality like hpx::migrate and hpx::copy_component which are the basic building blocks necessary for implementing higher level abstractions for system-wide load balancing, runtime-adaptive resource management, and object-oriented check-pointing and state-management.
  • We improved the distributed reference counting scheme used by HPX which helps managing distributed objects and memory.