Practical Concurrent Data Structure Design with Modern C++ | Discount Coupon for Udemy Course

Welcome to "Practical Concurrent Data Structure Design using Modern C++"!In this course, you will learn how to design and implement efficient concurrent data structures in C++ using the latest techniques and best practices.Concurrency is becoming increasingly important in modern software development, and designing data structures that multiple threads can safely and efficiently access is essential. In this course, you will start by understanding the basic concepts of concurrency and the challenges of designing concurrent data structures.Next, you will learn about the different types of concurrent data structures and how to select the right one for your use case. Finally, you will explore the various synchronization techniques and mechanisms in C++ to ensure thread safety, such as mutexes, condition variables, and atomics.You will also learn about the different memory models and how to design lock-free and wait-free data structures. You will study the principles of memory reclamation and garbage collection, which are critical for creating efficient lock-free data structures.Throughout the course, you will work on practical examples and hands-on exercises to reinforce your understanding of the material. In addition, you will design and implement concurrent data structures such as queues, stacks, hash tables, and trees using the latest C++ features, such as the Standard Template Library (STL), smart pointers, and lambda expressions.By the end of this course, you will have a solid understanding of designing and implementing efficient concurrent data structures in C++. As a result, you can confidently create high-performance software that scales well on multi-core systems and can handle a high degree of concurrency.Here are five reasons why learning concurrency using C++20 is essential:Standardized support for concurrency: C++20 has introduced new features and enhancements that support concurrent programming. The Standard Template Library (STL) now supports parallel algorithms, atomic operations, and memory models. This means that C++20 provides a standardized way to write concurrent programs, making it easier for developers to write correct and efficient code.High-performance: C++ is a high-performance language, and with the new concurrency features in C++20, it is possible to write concurrent programs that are both correct and fast. Using atomics, for example, allows for lock-free synchronization, which can improve performance by reducing the overhead of acquiring and releasing locks.Memory model improvements: C++20 introduces a new memory model that provides stronger guarantees for concurrent access to shared memory. This makes it easier to reason about the behavior of concurrent programs and helps prevent subtle bugs that can be hard to find and fix.Better type safety: C++20 introduces new features that improve type safety in concurrent programs. For example, the atomic_ref class provides safer access to shared variables without explicit synchronization.Practical applications: Concurrency is becoming increasingly important in modern software development as multi-core processors become more common. Learning how to write concurrent programs using C++20 can give you a competitive advantage in the job market and enable you to develop high-performance software that can handle a high degree of concurrency.Who this course is for:Intermediate C++ programmers exploring concurrey in modern C++Intermediate C++ programmers looking to grow in their roles from developer to LeadsIntermediate C++ programmers curious to understand practical implementation of modern c++ concurrency toolsC++ programmers aware of syntax but looking for opportunities to build personal projects using advanced language features.Senior Software Engineers planning to become Tech Leads in near futureAll C++ programmers who have been coding in C++ for 12 months or more.

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