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CppCon 2015 Programming with less effort C++: Measuring the programming effort...--Sylvain Jubertie

By Adrien Hamelin | Aug 26, 2016 02:09 PM | Tags: intermediate efficiency c++14

Have you registered for CppCon 2016 in September? Don’t delay – Registration is open now.

While we wait for this year’s event, we’re featuring videos of some of the 100+ talks from CppCon 2015 for you to enjoy. Here is today’s feature:

Programming with less effort C++: Measuring the programming effort with metrics

by Sylvain Jubertie

(watch on YouTube) (watch on Channel 9)

Summary of the talk:

The C++ language and libraries propose different ways to implement codes. For example, using explicit loops or STL algorithms to traverse containers and process data. C++11&14 bring also new features to the C++ language aimed at simplifying the writing of codes. But what is the gain we can expect in term of development effort when using these different possibilities and features ? or, as a developer may ask himself: Is it viable for me to spend some time learning new C++ libraries or standards to provide less effort/spend less time on my future codes ?

Before answering these questions, we must give a definition of the development effort, and define a way to measure it. Thus, we first propose to describe existing software metrics, from the simple Single Line Of Code (SLOC) to the more complex Halstead metrics, then to implement them in an automatic tool based on Clang tools, and finally to apply them on several codes to compare their respective development efforts.

First results show that using modern C++ features like auto, decltype and lambdas help to dramatically reduce the development effort. These results may help to convince developers to use new C++ features, or to port their codes from old standards to new ones, or even switch from other languages to C++ !

CppCon 2015 `for_each_argument` explained and expanded--Vittorio Romeo

By Adrien Hamelin | Aug 24, 2016 02:13 PM | Tags: efficiency advanced

Have you registered for CppCon 2016 in September? Don’t delay – Registration is open now.

While we wait for this year’s event, we’re featuring videos of some of the 100+ talks from CppCon 2015 for you to enjoy. Here is today’s feature:

`for_each_argument` explained and expanded

by Vittorio Romeo

(watch on YouTube) (watch on Channel 9)

Summary of the talk:

During January 2015, Sean Parent posted a very interesting short piece of code on Twitter. The code iteratively iterates at compile-time over any number of function arguments, forwarding them one by one to a callable object.

How does this code work? What are the possible use cases? Can we make it even more generic and useful?

My talk answers all of the questions above, using independently compiled chronologically sequential code segments that show the audience the analysis and improvement process of `for_each_argument`.

CppCon 2015 Racing The File System--Niall Douglas

By Adrien Hamelin | Aug 22, 2016 01:44 PM | Tags: boost advanced

Have you registered for CppCon 2016 in September? Don’t delay – Registration is open now.

While we wait for this year’s event, we’re featuring videos of some of the 100+ talks from CppCon 2015 for you to enjoy. Here is today’s feature:

Racing The File System

by Niall Douglas

(watch on YouTube) (watch on Channel 9)

Summary of the talk:

Almost every programmer knows about and fears race conditions on memory where one strand of execution may concurrently update data in use by another strand of execution, leading to an inconsistent and usually dangerous inconsistent read of program state. Almost every programmer therefore is aware of mutexes, memory ordering, semaphores and the other techniques used to serialise access to memory.

Interestingly, most programmers are but vaguely aware of potential race conditions on the filing system, and as a result write code which assumes that the filing system does not suddenly change out from underneath you when you are working on it. This assumption of a static filing system introduces many potential security bugs never mind ways of crashing your program, and of course creating data loss and corruption.

This workshop will cover some of the ways in which filing system races can confound, and what portable idioms and patterns you should employ to prevent misoperation, even across networked Samba shares. Finally, an introduction of the proposed Boost library AFIO will be made which can help application developers writing filing system race free code portably.

CppChat 2015-08-21: Jason Turner and Matt Bentley

By Jon Kalb | Aug 22, 2016 04:43 AM | Tags: None

Video chat:

CppChat 08-21 with Jason and Matt

with Jason Turner, Matt Bentley, and Jon Kalb

From the chat:

We discuss CppCon sessions including Matt's session on the game-friendly containers that he has created and Jason's plenary talk about writing a game for Commodore 64 in C++17, the reprisal of his award-winning C++Now talk on "Practical Performance Practices," and his talk with Rob Irving on their CppCast experiences. Along the way we discuss the history of the 6502 and Stepanov's observation that the STL was not designed with today's hardware in mind.

CppCon 2015 C++ Rcpp: Seamless R and C++ Integration--Matt P. Dziubinski

By Adrien Hamelin | Aug 19, 2016 01:52 PM | Tags: performance community

Have you registered for CppCon 2016 in September? Don’t delay – Registration is open now.

While we wait for this year’s event, we’re featuring videos of some of the 100+ talks from CppCon 2015 for you to enjoy. Here is today’s feature:

Rcpp: Seamless R and C++ Integration

by Matt P. Dziubinski

(watch on YouTube) (watch on Channel 9)

Summary of the talk:

R is an open-source statistical language designed with a focus on data analysis. While its historical roots are in statistical applications, it is currently experiencing a rapid growth in popularity in all fields where data matters: from data science, through bioinformatics and finance, to machine learning. Key strengths contributing to this growth include its rich libraries ecosystem (over 6 thousands packages at the moment of writing) – often authored by the leading researchers in the field, providing early access to the latest techniques; beautiful, high-quality visualizations – supporting seamless exploratory data analysis and producing stunning presentations; all of this available in an interactive environment resulting in high productivity through fast iteration times.

At the same time, there are no free lunches in programming: the dynamic, interactive nature of R does have its costs, including a significant impact on run-time performance. In an era of growing data sizes and increasingly realistic models this concern is only becoming more important.

In this talk we provide an introduction to Rcpp – a library allowing smooth integration of R with C++, combining the productivity benefits of R for data science together with the performance of C++. First released in 2005, today it’s the most popular language extension for R -- used by over 400 packages. We'll also discuss challenges (as well as possible solutions) involved in integrating modern C++ code, and demonstrate the usage of popular C++ libraries in practice. We’ll conclude the talk with the RInside package allowing to embed R in C++.

CppCon 2015 C++ on the Web: Ponies for developers without pwn’ing users--JF Bastien

By Adrien Hamelin | Aug 17, 2016 01:51 PM | Tags: performance community

Have you registered for CppCon 2016 in September? Don’t delay – Registration is open now.

While we wait for this year’s event, we’re featuring videos of some of the 100+ talks from CppCon 2015 for you to enjoy. Here is today’s feature:

C++ on the Web: Ponies for developers without pwn’ing users

by JF Bastien

(watch on YouTube) (watch on Channel 9)

Summary of the talk:

Is it possible to write apps in C++ that run in the browser with native code speed? Yes. Can you do this without the security problems associated with running native code downloaded from the net? Yes and yes. Come to this session to learn how.

We'll showcase some resource-intensive applications that have been compiled to run in the browser. These applications run as fast as native code with access to cornerstone native programming APIs—modern C++ STL, OpenGL, files and processes with full access to C++’s concurrency and parallelism—all in an architecture- and OS-agnostic packaging. Then, we'll describe how we deliver native code on the web securely, so developers get their C++ ponies and users don’t get pwn’d. We’ll also touch on the fuzzing, code randomization, and sandboxing that keep the billions of web users safe.