Home » Blog » Tags » performance

performance

C++ Lambdas, Threads, std::async and Parallel Algorithms--Bartlomiej Filipek

By Adrien Hamelin | Jun 2, 2020 01:37 PM | Tags: performance c++17 c++11

How do you use them?

C++ Lambdas, Threads, std::async and Parallel Algorithms

by Bartlomiej Filipek

From the article:

In articles about lambda expression (like this one from last week on my page), it’s easy to show examples where the lambda runs on the same thread as the caller. But how about asynchronous cases? What if your lambda is called on a separate thread? What problems you might encounter there.

Read on and let’s explore this topic...

Announcing Meeting C++ 2020!

By Meeting C++ | Apr 20, 2020 06:38 AM | Tags: performance meetingcpp intermediate experimental efficiency community c++20 c++17 c++14 c++11 basics advanced

Today I have the honor to give the kick-off for the official planning and participation in Meeting C++2020:

Announcing Meeting C++ 2020

by Jens Weller

From the article:

Meeting C++ returns with its 2020 conference edition! Like in the previous years, we'll be meeting in Berlin from the 12. - 14th November!

With the current situation of COVID-19, planning events for this year is difficult, though I have decided to go ahead and start the preparations for Meeting C++ 2020! I will keep you posted through out 2020 on the changes for this years conference!

HPX V1.4.1 released -- STE||AR Group

By Hartmut Kaiser | Feb 25, 2020 09:12 AM | Tags: performance parallelism heterogeneous computing distributed computing c++20 c++17 c++14 c++11

The STE||AR Group has released V1.4.1 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.4.1 Released

The newest version of HPX (V1.4.1) is now available for download! This is mostly a bug-fix release that fixes problems found in the previous HPX V1.4.0. Please see here for a full list of resolved issues.

    HPX is a general purpose parallel C++ runtime system for applications of any scale. It implements all of the related facilities as defined by the C++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of the C++ Concurrency TS, Parallelism TS V2, data-parallel algorithms, executors, and many more. It also extends the existing C++ Standard APIs to the distributed case (e.g. compute clusters) and for heterogeneous systems (e.g. GPUs).

    HPX seamlessly enables a new Asynchronous C++ Standard Programming Model that tends to improve the parallel efficiency of our applications and helps reducing complexities usually associated with parellism and concurrency.

 

MSVC Backend Updates in Visual Studio 2019 Versions 16.3 and 16.4--Kevin Cadieux

By Adrien Hamelin | Jan 30, 2020 02:22 PM | Tags: performance

Are you using it?

MSVC Backend Updates in Visual Studio 2019 Versions 16.3 and 16.4

by Kevin Cadieux

From the article:

Versions 16.3 and 16.4 of Visual Studio 2019 brought many new improvements in code generation quality, build throughput, and security. If you still haven’t downloaded your copy, here is a brief overview of what you’ve been missing out on...

HPX V1.4 released -- STE||AR Group

By Hartmut Kaiser | Jan 15, 2020 06:12 PM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.4 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.4 Released

The newest version of HPX (V1.4) is now available for download! This release focuses on performance and stability improvements. Please see here for the full release notes.

    HPX is a general purpose parallel C++ runtime system for applications of any scale. It implements all of the related facilities as defined by the C++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of the C++ Concurrency TS, Parallelism TS V2, data-parallel algorithms, executors, and many more. It also extends the existing C++ Standard APIs to the distributed case (e.g. compute clusters) and for heterogeneous systems (e.g. GPUs).

    HPX seamlessly enables a new Asynchronous C++ Standard Programming Model that tends to improve the parallel efficiency of our applications and helps reducing complexities usually associated with parellism and concurrency.