У нас вы можете посмотреть бесплатно Back to basics c concurrency david olsen cppcon 2023 или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Download 1M+ code from https://codegive.com/ab16d4e okay, let's dive into the "back to basics: concurrency" presentation by david olsen from cppcon 2023. this tutorial will break down the core concepts he covers, provide explanations, and include code examples to illustrate the principles. we'll aim to provide a comprehensive, hands-on understanding of the fundamentals of concurrency in c++. *core idea and target audience* the presentation is targeted at developers who: have some experience with c++ but are relatively new to concurrency. are feeling overwhelmed by the complexity and various concurrency libraries and techniques available. want a solid foundation to build upon before tackling more advanced concurrency patterns and frameworks. olsen emphasizes that a strong grasp of the basics is crucial for writing robust and efficient concurrent programs. he focuses on the fundamental building blocks provided by the c++ standard library (`std::thread`, `std::mutex`, `std::condition_variable`, `std::atomic`) and explores common problems and solutions. *outline* here's a rough outline of the topics covered, mirroring the structure of the presentation: 1. *why concurrency?* (motivation) 2. *threads: the execution units* 3. *data races and mutual exclusion (mutexes)* 4. *condition variables: signaling and waiting* 5. *atomics: lightweight synchronization* 6. *deadlocks* 7. *conclusion and best practices* let's dive into each section with explanations and code. *1. why concurrency? (motivation)* *improved performance:* leverage multi-core processors to execute tasks in parallel, reducing overall execution time. *responsiveness:* keep the ui responsive while performing long-running operations in the background. avoid blocking the main thread. *resource utilization:* utilize resources more effectively (cpu, i/o) by overlapping operations. *modularity and code organization:* break down complex problems into smaller, concurrent tasks, making the code ... #CppCon2023 #Concurrency #BackToBasics Back to Basics C++ Concurrency David Olsen CPPCon 2023 Multithreading Parallel Programming Software Development Performance Optimization Thread Safety Asynchronous Programming Programming Fundamentals C++ Best Practices Event-Driven Programming Code Efficiency