aductorestip

http://CppCon.org
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Discussion & Comments: https://www.reddit.com/r/cpp/
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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The performance benefits of supplying local allocators are well-known and substantial [Lakos, CppCon’17]. Still, the real-world costs associated with orchestrating the integration of allocators throughout a code base, including training, supporting tools, enlarged interfaces (and contracts), and a heightened potential for inadvertent misuse cannot be ignored. Despite substantial upfront costs, when one considers collateral benefits for clients – such as rapid prototyping of alternative allocation strategies – the case for investing in a fully allocator-aware (AA) software infrastructure (SI) becomes even more compelling. Yet there remain many “concerns” based on hearsay or specious conjecture that is either overstated or incorrect.

In this densely fact-infused talk, we begin by introducing a familiar analogy to drive home the business case for AASI. Next we identify four syntactic styles based on three distinct models: C++11, C++17, and a brand new language-based approach being developed by Bloomberg for C++23 (or later). Costs – both real and imagined – will be contrasted with performance as well as other important (“collateral”) benefits. The talk will conclude with a closer look at the economic imperative of pursuing a low-cost language-based alternative to AA software in post-modern C++.

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John Lakos
Bloomberg
Software Engineer
John Lakos, author of Large-Scale C++ Software Design, serves at Bloomberg LP in New York City as a senior architect and mentor for C++ Software Development world-wide.  He is also an active voting member of the C++ Standards Committee’s Evolution Working Group. Previously, Dr. Lakos directed the design and development of infrastructure libraries for proprietary analytic financial applications at Bear Stearns. For 12 years prior, Dr. Lakos developed large frameworks and advanced ICCAD applications at Mentor Graphics, for which he holds multiple software patents. His academic credentials include a Ph.D. in Computer Science ('97) and an Sc.D. in Electrical Engineering ('89) from Columbia University. Dr. Lakos received his undergraduate degrees from MIT in Mathematics ('82) and Computer Science ('81). His next book, entitled Large-Scale C++—Volume I: Process and Architecture, is anticipated in 2019.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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While C++ has continued to evolve to ever higher levels of complexity, debuggers like gdb have largely stayed within their historic, C-oriented feature sets. One compensating advancement is gdb's Python API, which gives programmatic access to most of gdb's features. Using this API, developers can create tools that improve the debugging experience for modern C++ and for their specific codebases.

gdb's Python API provides facilities to create new commands, add and remove breakpoints, improve the printed display of types, manipulate stack traces, get information on variables, and access most features of gdb. Combined with the vast array of libraries available in Python, remarkably powerful tools can be built.

The speaker will begin by demonstrating the creation of custom commands and parameters, then move on to the use of the pretty printing and stack frame filtering APIs. He will then show some tools built by combining gdb features with external Python libraries, such as an improved single-step command using libClang, graphical visualization of algorithm execution, and custom debugging accelerators for specific problem areas.
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Jeff Trull, Principal
Trull Consulting
Jeff is a former microprocessor designer and current C++ consultant. He is something of a conference junkie. His interests include numerics - especially for modeling linear systems - performance analysis, and tooling of all kinds.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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Modern C++ attributes such as [[noreturn]] and [[deprecated]] can be used to improve code quality and programmer productivity. They provide valuable information to the compiler, allowing it to generate more efficient code and provide more useful warning messages. C++20 is slated to include several new attributes, including [[no_unique_address]] and the design-by-contract attributes. They also let you use compiler extensions on specific toolchains without locking you into using only those toolchains.

This session explores several C++ attributes and provides examples of how to use each one to improve your programs. Although it focuses on the standard attributes, it also includes examples of non-standard attributes from specific toolchains.
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Ben Saks
Chief Engineer, Saks & Associates
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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With the advent of modern computer architectures characterized by -- amongst other things -- many-core nodes, deep and complex memory hierarchies, heterogeneous subsystems, and power-aware components, it is becoming increasingly difficult to achieve best possible application scalability and satisfactory parallel efficiency. The community is experimenting with new programming models that rely on finer-grain parallelism, and flexible and lightweight synchronization, combined with work-queue-based, message-driven computation. The recently growing interest in the C++ programming language in industry and in the wider community increases the demand for libraries implementing those programming models for the language.

In this talk, we present a new asynchronous C++ parallel programming model that is built around lightweight tasks and mechanisms to orchestrate massively parallel (and -- if needed -- distributed) execution. This model uses the concept of (Standard C++) futures to make data dependencies explicit, employs explicit and implicit asynchrony to hide latencies and to improve utilization, and manages finer-grain parallelism with a work-stealing scheduling system enabling automatic load balancing of tasks.

We have implemented such a model as a C++ library exposing a higher-level parallelism API that is fully conforming to the existing C++11/14/17 standards and is aligned with the ongoing standardization work. This API and programming model has shown to enable writing highly efficient parallel applications for heterogeneous resources with excellent performance and scaling characteristics.
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Hartmut Kaiser
CCT/LSU
STE||AR Group

Hartmut is a member of the faculty at the CS department at Louisiana State University (LSU) and a senior research scientist at LSU's Center for Computation and Technology (CCT). He received his doctorate from the Technical University of Chemnitz (Germany) in 1988. He is probably best known through his involvement in open source software projects, mainly as the author of several C++ libraries he has contributed to Boost, which are in use by thousands of developers worldwide. His current research is focused on leading the STE||AR group at CCT working on the practical design and implementation of future execution models and programming methods. His research interests are focused on the complex interaction of compiler technologies, runtime systems, active libraries, and modern system's architectures. His goal is to enable the creation of a new generation of scientific applications in powerful, though complex environments, such as high performance computing, distributed and grid computing, spatial information systems, and compiler technologies.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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Telling the compiler when aliasing can or cannot happen is an important problem to solve. Lots of the crucial compiler optimizations such as load and store elimination, and less crucial such as vectorization rely on alias analysis. I will showcase some examples where alias analysis is playing an important role to get decent performance. Unfortunately, there is no standard way in C++ to give hints to the compiler about aliasing. There is the C restrict keyword which is supported by some compilers but it has its own shortcomings. In this talk, I will show some of the past approaches to move restrict keyword to C++ and propose a new solution which is based on contracts. I will also show some basic tricks how to use type based alias analysis and value types to help the compiler reason about aliasing until the related new features being accepted into the language.
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Gabor Horvath, Eotvos Lorand University
PhD Student

Gabor started a Ph.D. in 2016. He is a contributor to research projects related to static analysis since 2012. He is a clang contributor, participated in Google Summer of Code twice as a student and twice as a mentor, interned for Apple and Microsoft. He teaches C++ and compiler construction to undergrads at Eotvos Lorand University.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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Join Arthur O'Dwyer on a deep dive into Return Value Optimization and related topics.

Even C++03 allowed the compiler to "elide" copy construction in certain cases. We'll start with an explanation of the calling convention on a typical machine, showing where the mysterious "return slot" lives, and why it makes sense that C++03 allowed copy elision in certain special cases (but not others). Then we'll show how C++11 (and a subsequent defect report) upped the game by quietly turning the remaining copies into moves, so that the commonly received wisdom these days is that `return std::move(x)` is never necessary and often a pessimization.

...Or is it? We'll show some real-world examples where `return x` quietly copies a large object instead of moving it. We'll explain the little-known notion of a "converting constructor", contrast it with "conversion operator", and show the precise way in which C++17 drops the ball on these examples. Finally, Arthur implemented a Clang compiler warning to detect and suggest fixes for problematic return statements; he'll walk through the relatively painless process of creating that diagnostic, and perhaps inspire you to contribute to Clang yourself!
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Arthur O'Dwyer

Arthur O'Dwyer started his career writing pre-C++11 compilers for Green Hills Software; he currently writes C++14 for Akamai Technologies. Arthur is the author of "Colossal Cave: The Board Game," "Mastering the C++17 STL" (the book), and "The STL From Scratch" (the training course). He is occasionally active on the C++ Standards Committee and has a blog mostly about C++.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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In modern C++ it is possible to implement user-defined types that closely mimic the behavior of ordinary pointers; these types are often referred to as fancy (or synthetic) pointers. With such types at one's disposal, it becomes feasible to build standard-conforming allocators that support relocatable memory in a way that is compatible with the standard containers. This, in turn, enables the use of the standard containers in applications like shared-memory databases, self-contained private heaps, and lightweight object persistence.

This talk will describe a small set of components that implement synthetic pointers. We'll begin by looking briefly at a couple of motivating problems, and then review how the standard defines "pointer-like types". We'll then discuss how closely a user-defined type can emulate ordinary pointers and sketch out a strategy for implementing such a type using the concepts of addressing model, storage model, and pointer interface.

We'll jump into the deep end by implementing two different addressing models, offset addressing and based 2D addressing, which act as policy types for a synthetic pointer class template. We'll then review simple storage models that support raw memory allocation for both addressing models before examining the synthetic pointer class in detail. We'll discuss how the synthetic pointer class interacts with the addressing models to implement pointer operations and emulate an ordinary pointer's interface.

Finally, the talk will provide an example of how these concepts can be applied - namely, containers in a self-contained private heap.
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Bob Steagall, KEWB Computing
CppCon Poster Chair

I've been working in C++ since discovering the second edition of The C++ Programming Language in a college bookstore in 1992. The majority of my career has been spent in medical imaging, where I led teams building applications for functional MRI and CT-based cardiac visualization. After a brief detour through the world of DNS and analytics, I'm now working in the area of distributed stream processing. I'm a relatively new member of the C++ Standardization Committee, and launched a blog earlier this year to write about C++ and related topics. I hold BS and MS degrees in Physics, and I'm an avid cyclist when weather permits.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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Lightning Talk
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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In all likelihood, sorting is one of the most researched classes of algorithms. It is a fundamental task in Computer Science, both on its own and as a step in other algorithms. Efficient algorithms for sorting and searching are now taught in core undergraduate classes. Are they at their best, or is there more blood to squeeze from that stone? This talk will explore a few less known – but more allegro! – variants of classic sorting algorithms. And as they say, the road matters more than the destination. Along the way, we'll encounter many wondrous surprises and we'll learn how to cope with the puzzling behavior of modern complex architectures.
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Andrei Alexandrescu
The D Language Foundation
Vice President and Treasurer
Boston MA

Andrei Alexandrescu is a researcher, software engineer, and author. He wrote three best-selling books on programming (Modern C++ Design, C++ Coding Standards, and The D Programming Language) and numerous articles and papers on wide-ranging topics from programming to language design to Machine Learning to Natural Language Processing. Andrei holds a PhD in Computer Science from the University of Washington and a BSc in Electrical Engineering from University "Politehnica" Bucharest. He is the Vice President of the D Language Foundation.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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"To make an apple pie from scratch, you must first invent the universe" —Carl Sagan

We’ll show how a Hello World program in C++ works from scratch, inventing the universe as we go along. We’ll demystify the journey your source code takes from textual representation to bytes executing on your processor. If you’ve ever wondered how the myriad of tools involved in translating and running C++ operate and fit together, then this talk is for you.

Topics covered will include stages of compilation, linkers, static/shared libraries, object file loading, operating system interaction, and maybe some apple pie.

Peter Bindels
Software Engineer, TomTom

Simon Brand
Microsoft
C++ Developer Advocate
Edinburgh, Scotland
Simon is Microsoft’s C++ Developer Advocate. Their background is in compilers and debuggers for embedded accelerators, but they’re also interested in generic library design, metaprogramming, functional-style C++, undefined behaviour, and making our communities more welcoming and inclusive.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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In this talk I will present an advancement on the Compile Time Regular Expression (CTRE) library. The library was designed with new C++20 features, and it uses novel techniques. This presentation independently sums up the work since my previous CppCon talk about the library.

The primary topic of this talk will be an explanation of the new Deterministic Finite Automaton (DFA) engine in the library and how it's built and optimised during compilation. I will explain the differences and limitations of the new engine in comparison to the previous Back Tracking engine. I will address these differences with a benchmark and I will discuss the generated assembly.

Even if you are not interested in regular expressions, you will learn new techniques in compile-time meta-programming and see new C++20 features in action.
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Hana Dusíková
AVAST
Senior Researcher
Brno, Czech Republic

Hana is working as a senior researcher in Avast Software. Her responsibility is exploring new ideas and optimizing existing ones. She also propagates modern C++ techniques and libraries in internal techtalks and gives talks at local C++ meetups.

She studied computer science at Mendel university and subsequently taught several courses there, including: Data Structures, Computability and Complexity, and Formal Languages and Automata.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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In this presentation you will learn how to use the io2d 2D graphics library, which is soon to be available on vcpkg for Windows, OS X, iOS and Linux. The implementation contains several examples, including an Asteroids clone. We'll demonstrate the examples and their code in depth, show you how to write your own renderer, talk about the opportunities for casual graphics and teaching, and suggest some future directions.
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Guy Davidson, Creative Assembly
Principal Coding Manager

Principal Coding Manager of Creative Assembly, makers of the Total War franchise, Alien:Isolation and the upcoming Halo Wars sequel, Guy has been writing games since the early 1980s. He is also a voting member of the ISO C++ committee, and a contributor to SG14, the study group devoted to low latency, real time requirements, and performance/efficiency especially for Games, Financial/Banking, and Simulations. He speaks at schools, colleges and universities about programming and likes to help good programmers become better programmers.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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The proposed new STL containers "flat_set" and "flat_map" work like "priority_queue" in that they adapt some existing container, such as std::vector or std::deque, by combining it with other user-provided components, such as a comparator. Such composed types generally impose vague semantic requirements on their components; for example, a composed type might implicitly require that copy-construction and assignment do "the natural thing." These semantic requirements are hardly ever stated explicitly in the Standard; instead, they fall out of common vendor implementations.

In committee discussion of "flat_map", it was noticed that container adaptors such as "priority_queue" also implicitly require some sort of exception guarantee. Not only does the library require that successful copy-assignment actually do assignment, but also, the library generally requires that unsuccessful copy-assignment should do nothing at all — a property referred to as the "strong exception guarantee."

Arthur will show some examples where a user-provided comparator that throws can break the class invariants of "priority_queue". Once the class invariants of a container have been broken, we say that the container is in a "mostly invalid" state — a different and even more dangerous state than the "valid but unspecified" state of a moved-from object. We'll walk through several strategies for inserting values into a flat_map and show how each one breaks down when confronted with a throwing move-constructor, a throwing comparison, or both. Finally, Arthur will suggest a path forward for formalizing the currently underspecified behavior of STL types that rely on user-provided components.
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Arthur O'Dwyer
New York

Arthur O'Dwyer is the author of "Colossal Cave: The Board Game," "Mastering the C++17 STL" (the book), and "The STL From Scratch" (the training course). He runs professional C++ training courses, is occasionally active on the C++ Standards Committee, and has a blog mostly about C++.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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C++20 adds the "spaceship operator" ＜=＞ for three-way comparison, fundamentally changing the way we implement comparison. But there are a lot more changes: Comparison categories will give more structure, and the new operator rewriting rules will massively reduce boilerplate. And like most C++ features, there are a couple of caveats we need to be aware of.

This talk will cover all the changes and give guidelines on how to use them. It will be very practical, answering questions like: How do I write a comparison operator for my classes? How do I write it for a generic container? How should I implement algorithms to leverage the three-way comparison? How do I handle all the types written without ＜=＞?

Whether you are writing concrete applications or generic library code, you will have the necessary knowledge to apply the new features. And even if you cannot use C++20 in the foreseeable future, you will have a deeper understanding on proper comparison design.
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Jonathan Müller
Student, RWTH Aachen University
Jonathan is a Computer Science graduate currently studying Physics. In his spare time he works on various C++ open source libraries for memory allocation, cache-friendly containers or parsing. He also blogs about C++ and library development at foonathan.net.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org

Tony Wasserka “Emulating the Nintendo 3DS: Generative & Declarative Programming in Action"
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2018
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Data de-serialization is a surprisingly common task in game console emulation (kernel interfaces, driver communication, and file IO), and to address it we usually use repetitive boilerplate code that is often nothing but error-prone and unmaintainable. How can modern C++ help?

We take a look at the interprocess communication subsystem of the Nintendo 3DS and see how generative programming tools (variadic templates, function reflection, metaprogramming) and a declarative approach give us wins in performance, maintainability, and correctness.

The takeaway of this session is a glimpse at generators, declarative interfaces, and how to use them to solve serialization-like problems with minimal effort and maximum reusability.
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Tony Wasserka
Freelance Software Developer

Low-level anything: Tony is a freelancer and long-term C++ enthusiast who has worked on the console emulator projects Dolphin (GameCube/Wii), PPSSPP (PSP), and Citra (3DS) since 2010. More recently, he has worked on Vulkan graphics drivers for PowerVR graphics processors. His main interest is exploring C++'s zero-cost abstraction capabilities and applying them to create better software for resource-constrained environments.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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The C++ standard library has supported custom allocators for as long as C++ itself has had a standard. Support for plugging in custom allocators has improved with each release, culminating (so far) in the 'pmr' allocator model in C++20 (with significant support in C++17). The substantial performance benefits of use of allocators (when used appropriately) are well-documented. Moreover, there are a variety of collateral benefits to clients -- such as rapid prototyping of alternative allocation strategies -- that make their use even more compelling. Still, the real-world costs associated with orchestrating the integration of allocators throughout a code base, including training, supporting tools, enlarged interfaces (and contracts), and a heightened potential for inadvertent misuse cannot be ignored. What's more, despite strong motivation to support allocator usage uniformly, there are corners of the C++ language (e.g., aggregates, lambda expressions, compiler-generated constructors) where the grammar simply doesn't admit them. Those that put up with these substantial cost and annoying inconsistencies do so because the need the manifest value that only allocators can provide, while others make due without.

But what if there were some feasible way to eliminate most of the real-world costs, leaving all the benefits to be enjoyed by everyone if and as desired? What would the skeptics say then?

In this session, Alisdair Meredith and Pablo Halpern will delve into the issues holding back widespread use of allocators, and present some ground-breaking ideas on how the language itself might move forward, making custom allocator support transparent in the majority of cases. We will discuss our ongoing work exploring this language-supported memory-allocator design space, including early experiments with the GCC and Clang compilers, and finally speculate on possible benefits to important areas of C++ beyond memory allocation alone.

Although not a prerequisite, we recommend attending John Lakos's talk "Value Proposition: Allocators-Aware (AA) software", given earlier in the week.
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Alisdair Meredith
BloombergLP
Senior Developer

Alisdair Meredith is a software developer at BloombergLP in New York, and the C++ Standard Committee Library Working Group chair.

He has been an active member of the C++ committee for just over a decade, and by a lucky co-incidence his first meeting was the kick-off meeting for the project that would become C++11, and also fixed the contents of the original library TR.

He is currently working on the BDE project, BloombergLP's open source libraries that offer a foundation for C++ development, including a standard library implementation supporting the polymorphic allocator model proposed for standardization.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
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Discussion & Comments: https://www.reddit.com/r/cpp/
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Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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The most efficient concurrent C++ data structures used in the wild today usually achieve break-neck performance by either constraining their workload or constraining correctness to a particular memory model. The audience will learn about the Wild West of abusing memory models for performance and simplification, through real world examples. Non-blocking data structures and their benefits often come at the cost of increased latency because they require additional complexity in the common case. There are plenty of exceptions to this if the requirements of the data structure are relaxed, such as supporting only a bounded level of write or read concurrency or if correctness is constrained to a particular memory model. For this reason, well-designed specialized non-blocking data structures guarantee improved resiliency, throughput and latency in all cases compared to alternatives relying on traditional concurrency primitives. Specialized concurrent structures are common place in the Linux kernel and other performance critical systems.

You will learn about foundational concepts to understanding your underlying hardware's memory model and abusing memory models for fun and profit:
* Cache coherency
* Store Buffers
* Pipelines and speculative execution

This talk provides real-world examples that exploit the x86-TSO model to their advantage:
* A general technique to turn literally, any, open-addressed hash table into a concurrent hash table with low to negligible (near 0) cost. The transformation makes your hash table wait-free for writers and mostly wait-free for readers (lock-free in hypothetical worse cases) and is practical for languages such as C++. The mechanism is superior to the previously popular Azure lock-free hash table and even more importantly, practical for any non-garbage-collected environment. The overhead is negligible on TSO and low on non-TSO.
* Blazingly fast event counters. An extremely efficient replacement for condition variables is introduced and faster than any other alternative. This is implemented without requiring any heavy-weight atomic operations on the fast path by exploiting properties of the x86-TSO model.
* Scalable memory management: Exploit the ordering and visibility constraints of the underlying architecture for blazingly fast implementations of RCU and other safe memory reclamation schemes.
* and more.
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Samy Al Bahra
Backtrace
CTO
Greater New York City Area

Samy Al Bahra is the cofounder of Backtrace, where he is helping build a modern debugging platform for today’s complex applications. Prior to Backtrace, Samy was a principal engineer at AppNexus, where he played a lead role in the architecture and development of many mission-critical components of the ecosystem. His work at AppNexus was instrumental in scaling the system to 18 billion impressions with orders of magnitude in efficiency improvements. Prior to AppNexus, Samy was behind major performance improvements to the core technology at Message Systems. At the George Washington University High Performance Computing Laboratory, Samy worked on the UPC programming language, heterogeneous computing, and multicore synchronization. Samy is also the founder of the Concurrency Kit project, which is part of the FreeBSD kernel and several leading technology companies rely on for scalability and performance. Samy serves on the ACM Queue Editorial Board

Paul Khuong
Not Google
Vice President
New York, NY

After toiling on his dissertation about mathematical optimisation methods for large-scale network design, Paul Khuong has spent the majority of his professional and hobbyist life reverse engineering and modernising C, C++, and Common Lisp legacy systems. When not engaged in code archaeology, Paul enjoys overfitting classic data structures and algorithms to contemporary computers, which lead to his work on linear Robin Hood hashing, on searching in sorted arrays and permutations thereof, and on abusing timesharing for even more asymmetric synchronisation.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
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Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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Programs written in C++ can suffer from serious memory fragmentation, leading to low utilization of memory, degraded performance, and application failure due to memory exhaustion. This talk introduces Mesh, a plug-in replacement for malloc that, for the first time, eliminates fragmentation in unmodified C++ applications through compaction. A key challenge is that, unlike in garbage-collected environments, the addresses of allocated objects in C++ are directly exposed to programmers, and applications may do things like stash addresses in integers, and store flags in the low bits of aligned addresses. This hostile environment makes it impossible to safely relocate objects, as the runtime cannot precisely locate and update pointers. Mesh combines novel randomized algorithms with widely-supported virtual memory operations to provably reduce fragmentation, breaking long-established worst-case bounds on memory efficiency with high probability. Mesh generally matches the runtime performance of state-of-the art memory allocators while reducing memory consumption and eliminating pathological cases; in particular, Mesh reduces the memory of consumption of Firefox by 16% and Redis by 39%. There are efforts underway to incorporate Mesh's approach to eliminate fragmentation into existing allocators like tcmalloc and jemalloc; Mesh itself is available at https://github.com/plasma-umass/Mesh, and it can be used just by setting an environment variable.
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Emery Berger
Univ. of Massachusetts Amherst
Professor
EmeryBerger

Emery Berger is a Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, the flagship campus of the UMass system. He graduated with a Ph.D. in Computer Science from the University of Texas at Austin in 2002. Professor Berger has been a Visiting Scientist at Microsoft Research and at the Universitat Politècnica de Catalunya (UPC) / Barcelona Supercomputing Center (BSC). Professor Berger’s research spans programming languages, runtime systems, and operating systems, with a particular focus on systems that transparently improve reliability, security, and performance. He and his collaborators have created a number of influential software systems including Hoard, a fast and scalable memory manager that accelerates multithreaded applications (used by companies including British Telecom, Cisco, Crédit Suisse, Reuters, Royal Bank of Canada, SAP, and Tata, and on which the Mac OS X memory manager is based); DieHard, an error-avoiding memory manager that directly influenced the design of the Windows 7 Fault-Tolerant Heap; and DieHarder, a secure memory manager that was an inspiration for hardening changes made to the Windows 8 heap. His honors include a Microsoft Research Fellowship, an NSF CAREER Award, a Lilly Teaching Fellowship, the Distinguished Artifact Award for PLDI 2014, the Most Influential Paper Award at OOPSLA 2012, the Most Influential Paper Award at PLDI 2016, three CACM Research Highlights, a Google Research Award, a Microsoft SEIF Award, and Best Paper Awards at FAST, OOPSLA, and SOSP; he was named an ACM Distinguished Member in 2018. Professor Berger is currently serving his second term as an elected member of the SIGPLAN Executive Committee; he served for a decade (2007-2017) as Associate Editor of the ACM Transactions on Programming Languages and Systems, and was Program Chair for PLDI 2016.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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In this class, attendees will learn about test-driven development as it applies to C++ programming. Test-driven development (TDD) is the weird idea that you should write tests for code that as yet does not exist! The idea grows on you, though, sometimes to the point that you can’t imagine writing programs any other way.

Now, if you aren’t practicing TDD already, one class may not make you into a fresh convert; for attendees in that category, my goal is to convince you that it’s not completely stupid and that “there is something there.”

In C++, TDD offers significant advantages but also poses some language-specific challenges you should be aware of. The difficulties are severe enough that TDD in C++ is often limited to small isolated components or low-level libraries. It gets harder when we want to build a large system, but it’s not impossible.

We will learn about specific programming techniques such as dependency injection. Perhaps more importantly, we will see how the decision to use TDD influences the design process and the resulting software architecture. Some of the problems we will encounter when trying to follow TDD practices in C++ have at most tolerable solutions if we limit ourselves to language tricks. We can make our software-testing life much easier if we build testability into the software from the design stage, which, in turn, makes the software itself better.
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Fedor Pikus
Mentor Graphics
Chief Scientist
Portland, Oregon Area

Fedor G Pikus is a Chief Engineering Scientist in the Design to Silicon division of Mentor
Graphics Corp (Siemens business). His earlier positions included a Senior Software Engineer at Google and a Chief Software Architect for Calibre PERC, LVS, DFM at Mentor Graphics. He joined Mentor Graphics in 1998 when he made a switch from academic research in computational physics to the software industry. Fedor is a recognized expert on high-performance computing and C++, he presented his works at CPPCon, SD West, DesignCon, in Software Development Journal, and is also an O’Reilly author. His responsibilities as a Chief Scientist include planning the long-term technical direction of Calibre products, directing and training the engineers who work on these products, design, and architecture of the software, and research in the new design and software technologies. Fedor has over 25 patents and over 100 papers and conference presentations on physics, EDA, software design, and C++ language.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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http://CppCon.org
—
Discussion & Comments: https://www.reddit.com/r/cpp/
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2019
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Computer scientists are bad at relationships. Nearly every program crash is rooted in a mismanaged relationship, yet we spend most of our time discussing types and functions and not the relationships connecting them together. This talk looks at common ways data and code are connected in an application, how those relationships are typically represented, and the problems caused by the use, and misuse of these paradigms. Then we'll look at ways to model these relationships in C++ and use them to build correct applications.
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Sean Parent
Adobe / Photoshop
Sr. Principal Scientist
San Jose, CA

Sean Parent is a principal scientist and software architect for Adobe’s digital imaging group. Sean has been at Adobe since 1993 when he joined as a senior engineer working on Photoshop and later managed Adobe’s Software Technology Lab. In 2009 Sean spent a year at Google working on Chrome OS before returning to Adobe to work on mobile and web technology. From 1988 through 1993 Sean worked at Apple, where he was part of the system software team that developed the technologies allowing Apple’s successful transition to PowerPC.
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Videos Filmed & Edited by Bash Films: http://www.BashFilms.com

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