paletatiptip

http://www.Cppcon.org
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015
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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`.
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Vittorio Romeo is an Italian 20 year old Computer Science student at "Università degli Studi di Messina".

He began programming at a very young age and soon became a C++ enthusiast. While following the evolution of the C++ standard and embracing the newest features, he worked on several open-source projects, including modern general-purpose libraries and free cross-platform indie games.

Vittorio is an active member of the C++ community: he participated as a speaker at CppCon 2014, as a Student/Volunteer at C++Now 2015, as a speaker at Italian C++ Meeting 2015 and as a speaker at his local city's Linux Day 2013 and 2014 events.

He currently maintains a YouTube channel featuring well-received modern C++11 and C++14 tutorials.

When he's not programming, Vittorio enjoys weightlifting and fitness-related activities, competitive/challenging computer gaming (CS:GO, Quake, LoL, Touhou, ...), and good sci-fi movies/tv-series (Firefly, Fringe, Futurama, ...).
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

http://www.Cppcon.org
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015
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STL has a big history. Due to class paradigm of C++, many STL containers have a flat layout in memory, i.e. containers naturally store objects and address objects rather than their indexing entities such as smart pointers (which are, strictly speaking, objects too). This model has a benefit of lower memory fragmentation, that causes better CPU cache performance. However, many tasks in real life require reordering of objects, that requires compexity of O(n*q), where q is a size of an object and n is a compexity measured in operations. Thus, some imlementations of operations with reordering objects in some containers are much slower that they could be. This problem could sometimes be solved by storing “pointers” as index entities in containers instead of the objects by themselves, what improves performance by q times, but causes memory fragmentation and worse cache performance. Algorithmically, the solution with pointers is obviously better, but it is still not the most efficient one. In the presentation I will show myimplementations of containers using both approaches and having the best of two worlds. I will compare these methods with classical and modern approaches and draw some conclusion, encouraging everybody to use the power of algorithms with C++.
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Viktor graduated from Moscow Technical University and Yandex Data Analysis School.
In 2006 - 2008 Viktor worked for Galaktika corpotation, participated in the creation of a 4'th generation OO-programming language.
In 2008 - 2010 Viktor worked for Alta-Soft LLC as a technical architect of a distributed customs database.
Since 2012 Viktor has been working for Zeptolab LLC, creating modern mobile games. At the moment the company is drastically updating the technologies and codebase, including an internal framework.
Viktor is always making an emphasis on algorithms, fundamental data structures and robust object model.

Mobius 2015, http://www.youtube.com/watch?v=TG1QVX...
Droidcon 2014, http://ru.droidcon.com/2014/gaming-i/
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

http://www.Cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015
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With the "C++ Renaissance" it is imperative that the technical leadership prove their mettle to lead a large organization into adopting modern practices and idioms.

In this talk, John and Kevin will discuss various techniques that they have employed to help drive their large development organization (~ 75 software engineers) towards a culture of modernization - some techniques that have worked well, and some that have not.

This will not be a discussion on specifics and nuances of the language. This is more a "fuzzy" discussion on what it means to be both at the forefront of the language and a leader / champion for your peers.
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Kevin Kostrzewa: My first piece of published software was in 1983, on a Commodore 64, published in Commodore Power/Play magazine. I have been a professional programmer since 1992 working for Thomson Reuters (originally Creative Solutions) working initially in C/DOS and now primarily in C++/Windows.

John Wyman: I have been working at Thomson Reuters (then Creative Solutions) since 1999. There I develop a US Tax application that contains modules for most conceivable forms of US Tax. US Tax makes for a dynamic code base and a strong desire for efficiency, making C++ our tool of choice.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

http://www.Cppcon.org
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015
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In this talk, I will present my work in computer vision, namely landmark detection and 3D face tracking, and the two C++ libraries that were developed in the process. The first part of the talk will give an introduction to detecting facial landmark points and work through a hello-world code example that presents and uses the superviseddescent library, a cross-platform library for cascaded regression that can be used to solve problems like landmark detection or pose estimation. The second part of the talk will present an approach that uses the found landmarks from the first part to use a 3D face model to track a person's face. With the library presented in the process, we hope to make 3D models easier to use and more widespread in the community. Both libraries are designed to be lightweight and simple to use, and try to follow modern C++11/14 programming paradigms. The talk concludes with my views on code sustainability in academia and a wish list of standard library features for computer vision.
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I'm a PhD student in computer vision at the Centre for Vision, Speech and Signal Processing of the University of Surrey, UK. My research is about using 3D face models to reconstruct a 3D face from a single 2D image, object tracking and facial landmark detection. My interest in C++ emerged in 2013 when I discovered the power of modern C++ programming, and I have since then open-sourced much of my research software. In my free time, I love to practice Yoga and I'm working towards obtaining my gliding license!
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

http://www.Cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2015
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std::future provides us a mechanism for asynchronous communication between a provider and receiver. However, the C++14 standard does not allow for actual asynchronous programming, as the only ways to interact with an std::future are blocking calls. The proposed then helps, but the interface is awkward and can be extremely slow when handling exceptions. Here, I will talk about completion a high-performance, async-only and monadic alternative to std::future and how it is used at SolidFire.
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Travis work at SolidFire on a high-performance, fault-tolerant distributed system, where he is responsible for developing tools to make building systems easier and safer. He is a bit of a programming language nerd and is a big fan of where Rust is going (eventually). If you find Travis during the day without coffee or during the night without whiskey, there is a problem.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com