General-purpose programming language. It has imperative, object-oriented and generic programming features, while also providing facilities for low-level memory manipulation
The C++ Core Guidelines’ Lifetime Profile, which is part of the C++ Core Guidelines, aims to detect lifetime problems, like dangling pointers and references, in C++ code. It uses the type information already present in the source along with some simple contracts between functions to detect defects at compile time with minimal annotation.
if constexpr and generic lambdas so that code could use the type if it is defined, while still being accepted by the compiler (and being discarded) if the type is not defined.struct all the time.struct technique with an unqualified name. You can’t use it to probe a type that you didn’t import into the current namespace.
In Visual Studio 2019 Preview 2 we have continued to improve the C++ backend with new features, new and improved optimizations, build throughput improvements, and quality of life changes.
As Intel Threading Building Blocks (TBB) is being refreshed using new C++ standard, deprecating tbb::task interface, the need for high-level tasking interface becomes more obvious. In this article, I’m proposing yet another way of defining what a high-level parallel task programming model can look like in modern C++. I created it in 2014 and it was my last contribution to TBB project as its core developer after 9 wonderful years of working there. However, this proposal has not been used in production yet, so a new discussion might help it to be adopted.
The goal of this quick reference is to collect in one place and organize information about value categories in C++, assignment, parameter passing and returning from functions. I tried to make this quick reference convenient to quickly compare and select one of solutions possible, this is why I made several tables here.
For introduction to the topic, please use the following links:
C++ rvalue references and move semantics for beginners
Rvalues redefined
C++ moves for people who don’t know or care what rvalues are
Scott Meyers. Effective Modern C++. 2015
Understanding Move Semantics and Perfect Forwarding: Part 1
Understanding Move Semantics and Perfect Forwarding: Part 2
Understanding Move Semantics and Perfect Forwarding: Part 3
Do we need move and copy assignment
Some time ago, in a discussion on one of SObjectizer's releases, we were asked: "Is it possible to make a DSL to describe a data-processing pipeline?" In other words, is it possible to write something like that:
A | B | C | D
and get a working pipeline where messages are going from A to B, and then to C, and then to D. With control that B receives exactly that type that A returns. And C receives exactly that type that B returns. And so on.
It was an interesting task with a surprisingly simple solution. For example, that's how the creation of a pipeline can look like:
auto pipeline = make_pipeline(env, stage(A) | stage(B) | stage(C) | stage(D));Or, in a more complex case (that will be discussed below):
auto pipeline = make_pipeline( sobj.environment(),
stage(validation) | stage(conversion) | broadcast(
stage(archiving),
stage(distribution),
stage(range_checking) | stage(alarm_detector{}) | broadcast(
stage(alarm_initiator),
stage( []( const alarm_detected & v ) {
alarm_distribution( cerr, v );
} )
)
) );In this article, we'll speak about the implementation of such pipeline DSL. We'll discuss mostly parts related to stage(), broadcast() and operator|() functions with several examples of usage of C++ templates. So I hope it will be interesting even for readers who don't know about SObjectizer (if you never heard of SObjectizer here is an overview of this tool).
<=>. There was a post awhile back by our very own Simon Brand detailing some information regarding this new operator along with some conceptual information about what it is and does. The goal of this post is to explore some concrete applications of this strange new operator and its associated counterpart, the operator== (yes it has been changed, for the better!), all while providing some guidelines for its use in everyday code.
SObjectizer is a rather small C++ framework that simplifies the development of multithreaded applications. SObjectizer allows a developer to use approaches from Actor, Publish-Subscribe and Communicating Sequential Processes (CSP) models. It's an OpenSource project that is distributed under BSD-3-CLAUSE license.
SObjectizer has a long history. SObjectizer itself was born in 2002 as SObjectizer-4 project. But it was based on ideas from previous SCADA Objectizer that was developed between 1995 and 2000. SObjectizer-4 was open-sourced in 2006, but its evolution was stopped soon after that. A new version of SObjectizer with the name SObjectizer-5 was started in 2010 and was open-sourced in 2013. The evolution of SObjectizer-5 is still in progress and SObjectizer-5 has incorporated many new features since 2013.
SObjectizer is more or less known in the Russian segment of the Internet, but almost unknown outside of the exUSSR. It's because the SObjectizer was mainly used for local projects in exUSSR-countries and many articles, presentations, and talks about SObjectizer are in Russian.
Multithreading is used in Parallel computing as well as in Concurrent computing. But there is a big difference between Parallel and Concurrent computing. And, as a consequence, there are tools targeted Parallel computing, and there are tools for Concurrent computing, and they are different.
Ever since we announced Template IntelliSense, you all have given us great suggestions. One very popular suggestion was to have the Template Bar auto-populate candidates based on instantiations in your code. In Visual Studio 2019 version 16.1 Preview 2, we’ve added this functionality via an “Add All Existing Instantiations” option in the Template Bar dropdown menu. The following examples are from the SuperTux codebase.
In the era of ubiquitous AI applications there is an emerging demand of the compiler accelerating computation-intensive machine-learning code for existing hardware. Such code usually does mathematical computation like matrix transformation and manipulation and it is usually in the form of loops. The SIMD extension of OpenMP provides users an effortless way to speed up loops by explicitly leveraging the vector unit of modern processors. We are proud to start offering C/C++ OpenMP SIMD vectorization in Visual Studio 2019.
The OpenMP C/C++ application program interface was originally designed to improve application performance by enabling code to be effectively executed in parallel on multiple processors in the 1990s. Over the years the OpenMP standard has been expanded to support additional concepts such as task-based parallelization, SIMD vectorization, and processor offloading. Since 2005, Visual Studio has supported the OpenMP 2.0 standard which focuses on multithreaded parallelization. As the world is moving into an AI era, we see a growing opportunity to improve code quality by expanding support of the OpenMP standard in Visual Studio. We continue our journey in Visual Studio 2019 by adding support for OpenMP SIMD.
Hi Everyone!
In this article we a little bit will analyze of code of Windows XP and will compile the calculator application using GCC x64 in Windows 10 environment. We will look what kind of errors I faced during the build and the methods how to solve them. At the end we will launch the build of the calc.exe application.
Have a nice reading!
Visual Studio 2019 Preview 3 introduces a new feature to reduce the binary size of C++ exception handling (try/catch and automatic destructors) on x64. Dubbed FH4 (for __CxxFrameHandler4, see below), I developed new formatting and processing for data used for C++ exception handling that is ~60% smaller than the existing implementation resulting in overall binary reduction of up to 20% for programs with heavy usage of C++ exception handling.
Recently we found out that the new version of the fheroes2 project was released. In our company there are many fans of Heroes of Might and Magic game series. So, we couldn't pass it up and checked the project by PVS-Studio.
I don’t care what your dragon’s said, it’s a lie. Dragons lie. You don’t know what’s waiting for you on the other side.This article is based on the post in the Krister Walfridsson’s blog, “Why undefined behavior may call a never called function?”.
Michael Swanwick, The Iron Dragon’s Daughter
I had some experience in the matching engine development for cryptocurrency exchange some time ago. That was an interesting and challenging experience. I developed it in clear C++ from scratch. The testing of it is also quite a challenging task. You need to get data for testing, perform testing, collect some statistics, and at last, analyze collected data to find weak points and bottlenecks. I want to focus on testing the C++ matching engine and show how testing can give insights for optimizations even without the need to change the code. The matching engine I developed can do more than 1’000’000 TPS (transactions per second) and is 10x times faster than the matching engine of the Binance cryptocurrency exchange (see one post on Binance Blog).
