Modern C++ Concurrency in Depth ( C++17/20)

Why take this course?
🧠 Master Modern C++ Concurrency: Unleash the Power of C++17/20!
🚀 Course Headline: Dive Deep into Modern C++ Concurrency Features, including the Memory Model, Lock-Free Data Structures, Thread Pools, and Coroutines!
🔍 Course Instructor: Kasun Liyanage - A seasoned expert in C++ concurrency, dedicated to demystifying the intricacies of modern C++.
Unlock the Full Potential of Your C++ Programs!
C++ is more than just a language; it's a tool for system programming that demands performance and efficiency. With the advent of C++11, C++ took a transformative leap, redefining what we think we know about the language. The new memory model introduced in C++11 opened the doors to leveraging the full capabilities of modern multi-core processors, setting the stage for unprecedented performance improvements.
In this comprehensive course, Modern C++ Concurrency in Depth (C++17/20), you'll explore the intricate world of C++ concurrency, where understanding the memory model is not just beneficial but essential for writing high-performance, multi-threaded applications.
Key Features of This Course:
🧵 Basics of C++ Concurrency:
- Master the fundamental concepts such as threads, mutexes,
package_task
,future
,async
, andpromise
.
🚀 Lock-Based Thread Safety:
- Implement robust and thread-safe data structures and algorithms using locks.
🎫 C++ Memory Model:
- Gain a deep understanding of the C++ memory model and its critical role in performance optimization.
🏃♂️ Lock-Free Programming:
- Discover how to implement lock-free data structures and algorithms for optimal performance and concurrency.
⚡ C++20 Concurrency Features:
- Explore the latest advancements in C++ concurrency, including features from C++20.
🔁 Memory Reclaim Mechanism:
- Learn proper memory management strategies for lock-free data structures to ensure safety and efficiency.
🤹♂️ Designing Concurrent Code:
- Understand the design aspects of concurrent code that are crucial for maintaining performance and avoiding common pitfalls.
🌊 Thread Pools:
- Dive into an in-depth discussion on thread pools and how they can simplify your concurrency model.
🎇 Bonus: CUDA Programming with C/C++:
- Get an introduction to parallel programming with NVIDIA's CUDA platform, enhancing your ability to write high-performance code for both C and C++.
Why Take This Course?
✅ Practical Skills: Learn by doing with practical examples and hands-on projects.
✅ Expert-Led Learning: Benefit from Kasun Liyanage's years of experience and deep understanding of C++ concurrency.
✅ Cutting-Edge Content: Stay ahead of the curve with up-to-date information on the latest C++ standards and features.
✅ Community Support: Join a community of like-minded learners to share knowledge, ask questions, and collaborate.
🎓 Enroll today and transform your C++ concurrency skills from beginner to expert with Modern C++ Concurrency in Depth (C++17/20)! 🚀
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Comidoc Review
Our Verdict
A solid course diving deep into modern C++ concurrency features, balancing theoretical knowledge with practical applications. Despite inconsistencies in audio quality and presentation, students benefit from comprehensive examples and well-structured content. Enhancements in subtitle precision, cross-platform compatibilities, and further explorations of thread pools and CUDA implementations would strengthen its position as a top C++ concurrency resource.
What We Liked
- In-depth exploration of modern C++ concurrency features, covering both theory and practical applications.
- Comprehensive code examples and implementation details provided throughout the course to enhance understanding.
- Responsive instructor providing valuable insights in addressing specific aspects of concurrent programming.
- Useful for developers working with C++17/20 and seeking to improve their knowledge of multithreaded algorithms
Potential Drawbacks
- Inconsistent audio quality throughout the course, causing difficulties while following some lectures.
- Slides requiring improvement in terms of clarity and coherence; certain subtitles do not match explanations.
- Code examples may require manual adjustments for non-Windows users, as most content is presented using Visual Studio
- Limited coverage on thread pools and CUDA usage when leveraging parallelism with GPUs