The Art of Concurrency: Writing Multithreaded and Parallel Code That Works - Tapa blanda

Sinopsis

Writing Multithreaded and Parallel Code That Works

Build Faster, Smarter Software — Without the Race Conditions.

The Art of Concurrency is your practical guide to writing safe, scalable, and efficient multithreaded and parallel programs across platforms and languages. Whether you’re developing desktop software, high-performance back-end systems, or embedded applications, this book teaches you how to take full advantage of modern multi-core processors and parallel computing—while avoiding the pitfalls that make concurrent code notoriously hard to get right.

From the fundamentals of threads and synchronization to cutting-edge parallelism models, this book focuses on writing concurrent code that’s correct, testable, and fast.

✅ Understanding threads, processes, and the CPU execution model
✅ Synchronization techniques: locks, semaphores, mutexes, and atomic variables
✅ Avoiding race conditions, deadlocks, and livelocks
✅ Thread safety, shared state management, and immutability
✅ Parallel patterns: task decomposition, work stealing, pipelines
✅ Writing concurrent code in C++, Java, Python, and Rust
✅ Tools and techniques for debugging multithreaded code
✅ Functional programming patterns for concurrency
✅ Reactive and async programming models
✅ Real-world case studies in concurrent system design

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