Welcome to the "Concurrent Programming" repo, it is a good guide to learn concurrent and parallel programming. Within this repository, you'll find a rich collection of examples that bring to life the principles of concurrency across a variety of programming languages, each with its unique approach to solving the puzzle of simultaneous operations. Whether you're just starting or looking to expand your knowledge, this repository is crafted to make complex concepts accessible and engaging.
What You'll Discover:
C# Concurrency Mastery: Dive into the world of C# to explore how shared memory, monitors, and locks work in harmony to manage concurrent operations safely and efficiently. These examples are tailor-made to demonstrate the synchronization of tasks to ensure data integrity and seamless execution.
C++ and OpenMP Insights: Uncover the power of C++ coupled with OpenMP, focusing on critical sections and locks. Learn how to leverage these tools to control access to resources and maintain order when multiple threads work for the same data.
Go's Distributed Memory: Experience the elegance of Go's distributed memory model through channels and goroutines. This section illuminates the efficiency of Go's concurrency model, enabling you to write clean, efficient code that performs multiple operations in tandem with simplicity.
CUDA GPU Programming: Step into the realm of CUDA for GPU programming, where parallel processing takes on a whole new meaning. These examples showcase how to harness the massive computational power of GPUs, accelerating tasks to speeds unimaginable on traditional CPUs.
Why This Repository? Beginner-Friendly: I've distilled complex concepts into straightforward, understandable examples. This repository is your friendly companion through the world of concurrent programming, designed to build your confidence and competence step by step.
Practical Application: Beyond theory, this repository emphasizes practical application, giving you the tools and understanding needed to apply concurrency concepts in real-world scenarios effectively.
Comprehensive Coverage: From the shared memory approach of C# to the parallel processing of CUDA, get a comprehensive look at different concurrency models, each with detailed documentation to guide your learning journey.
Join the Community: Here, you can share your experiences, learn from others, and contribute to a growing body of knowledge on concurrent programming. Share Your Contributions: Whether you have a new example to add, improvements to suggest, or insights to share, your contributions are invaluable. You can help enrich this repository and make concurrent programming accessible to everyone.
Learn and Grow Together: As you explore these examples and concepts, you're not alone. Join discussions, ask questions, and connect with fellow enthusiasts eager to explore the potential of concurrent programming.