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GCC 10.1 Released--Jakub Jelinek

By Adrien Hamelin | May 11, 2020 10:48 AM | Tags: community

The new version is out.

GCC 10.1 Released

by Jakub Jelinek

From the article:

A year has lapsed away since the release of last major
GCC release, more than 33 years passed since the first
public GCC release and the GCC developers survived
repository conversion from SVN to GIT earlier this year.

Today, we are glad to announce another major GCC release, 10.1.

This release makes great progress in the C++20 language support,
both on the compiler and library sides [1], some C2X enhancements,
various optimization enhancements and bug fixes, several new
hardware enablement changes and enhancements to the compiler back-ends
and many other changes.  There is even a new experimental static
analysis pass [2]...

Nifty Fold Expression Tricks--Jonathan Müller

By Adrien Hamelin | May 6, 2020 11:43 AM | Tags: intermediate c++17

Many things can be done!

Nifty Fold Expression Tricks

by Jonathan Müller

From the article:

Suppose you need to have a variadic function and want to add all arguments together. Before C++17, you need two pseudo-recursive functions:

template <typename H, typename ... T>
auto add(H head, T... tail)
{
    return head + add(tail...);
}

template <typename H>
auto add(H head)
{
    return head;
}

However, C++17 added fold expressions, making it a one-liner:

template <typename H, typename ... T>
auto add(H head, T... tail)
{
    return (head + ... + tail);
    // expands to: head + tail[0] + tail[1] + ...
}

If we’re willing to abuse operator evaluation rules and fold expressions, we can do a lot more. This blog posts collects useful tricks...

CppDepend v2020.1 Released! - Dependency Graph Completely Rebuilt, new Linux version, CUDA support

By James | May 4, 2020 11:24 AM | Tags: None

CppDepend allows architects and developers to analyze C and C++ code base, automate code reviews, and facilitate refactoring and migration.

CppDepend v2020.1

by CppDepend

About the release

CppDepend’s Dependency Graph feature has been rebuilt from scratch. And, thanks to several innovations, it is now a unique and differentiated tool for exploring and navigating code bases. Feature highlights include:

  • Optimized to work on very large codebases: For example, now the graph can be used to navigate in a very large project in real-time.
  • New graph navigation bar: expand/collapse parent nodes; focus on entangled code; generate call graphs, coupling graphs, inheritance graphs, and more.
  • New dependency graph layout option: group by project, namespace, or class with new color conventions and new filters.
  • Complex graphs are simplified with Clusters: cluster nodes can be automatically introduced to make large and complex graphs readable.
  • Search in graphs: Interesting graphs can be quickly obtained by searching elements by name and pruning un-matched elements.
  • Export graphs to SVG vector format
  • Dependency Graph presentation in reports has been improved: thanks to clusters feature.
  • Smart Graph Persistence: A list of actions can be persisted to obtain a graph that remains in-sync through code changes.

Also, CppDepend 2020.1 includes:

  • CppDepend on Linux completely rebuilt: The Linux GUI is completely rebuilt to use the GTK framework for a better user experience.
  • C/C++ plugin for SonarQube is now available on Linux
  • CUDA Support: CppDepend fully supports the analysis of CUDA-based applications.
  • Improved Physical structure analysis: When you create a new CppDepend project you have now the choice to use a logical view or a physical view.
  • Source File Store Out Of The Box: Parsed source files are now zipped at analysis time.
  • Bamboo and AppVeyor Integration: You can now integrate the CppDepend report to Bamboo and AppVeyor
  • Numerous Bugs Fixes and Improvements


Click here to see a series of short GIF animations that illustrate these features and product improvements.

Download and enjoy the new version of CppDepend now by clicking here.

Advanced C++ with Focus on Software Engineering, Stuttgart, 4 days

By Klaus Iglberger | May 4, 2020 11:21 AM | Tags: None

Advanced C++ with Focus on Software Engineering, Stuttgart, 4 days

Advanced C++ with Focus on Software Engineering

by Klaus Iglberger

About the training

This advanced C++ training is a course on software design with the C++ programming language. The focus of the training are the essential C++ software development principles, concepts, idioms, and best practices, which enable programmers to create professional, high-quality code. Additionally, the course gives insight into kernel development with C++. The course provides insight into different design strategies (object-oriented programming, functional programming, generic programming) and the philosophy of “Modern C++” and teaches guidelines to develop mature, robust, maintainable, and efficient C++ code.

Date: November 24-27, 2020

Location: HLRS Stuttgart, Nobelstr. 19

Instructor: Klaus Iglberger

For information about prerequisities, topics, and registration, please see https://www.hlrs.de/training/2020-11-24-cpp4/.

Intermediate C++ with Focus on Software Engineering, Stuttgart, 4 days

By Klaus Iglberger | May 2, 2020 12:44 PM | Tags: None

Intermediate C++ with Focus on Software Engineering, Stuttgart, 4 days

Intermediate C++ with Focus on Software Engineering

by Klaus Iglberger

About the training

This intermediate C++ training is a course on software development with the C++ programming language. The focus of the training are the essential C++ software development principles, concepts, idioms, and best practices, which enable programmers to create professional, high-quality code. The course will give insight into the different aspects of C++ (object-oriented programming, functional programming, generic programming) and will teach guidelines to develop mature, robust, maintainable, and efficient C++ code.

Date: July 7-10, 2020

Location: HLRS Stuttgart, Nobelstr. 19

Instructor: Klaus Iglberger

For information about prerequisities, topics, and registration, please see https://www.hlrs.de/training/2020-07-07-cpp3/.
 

Codeplay implements MKL-BLAS for NVIDIA GPUs using SYCL and DPC++

By rodburns | May 2, 2020 12:41 PM | Tags: None

SYCL is an open standard developed by the Khronos™ Group that enables developers to write code for heterogeneous systems using standard C++.

Codeplay implements MKL-BLAS for NVIDIA GPUs using SYCL and DPC++

by Codeplay

About the release:

Software developers are looking more than ever at how they can accelerate their applications without having to write optimized processor specific code. SYCL is the industry standard for C++ acceleration, giving developers a platform to write high-performance code in standard C++, unlocking the performance of accelerators and specialized processors.

The oneMKL BLAS library is the first math library implementation for oneAPI to enable support for NVIDIA GPUs and uses the interoperability features implemented by DPC++. This work consists of a major open source contribution to the oneAPI intiative by Codeplay. It also represents an opportunity for developers to use SYCL as an alternative to using CUDA for developing high performance parallel applications.