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SKU/Artículo: AMZ-B0GM5RF7KV
Mastering Concurrency in Operating Systems: Threads, Synchronization, Deadlocks, and Parallel Execution Explained for Developers
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.64 kg
0.64 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Ship Safer, Faster, and Fully ParallelRace conditions cost you sleep and customers—master concurrency in operating systems and ship with confidence. This practical guide demystifies threads, synchronization, deadlocks, scheduling, memory models, and parallel execution so you can build high‑performance, correct software on modern multicore systems.What You'll Learn?Design thread-safe components using locks, mutexes, semaphores, and monitorsPrevent, detect, and resolve deadlocks with proven strategiesLeverage parallel programming patterns for throughput and low latencyUnderstand OS-level thread scheduling, priorities, and context switchingApply lock-free and wait-free techniques when they truly helpTest and debug race conditions with systematic checklistsInside, Step-by-StepThreads and memory modelsSynchronization primitives and patternsDeadlock analysis and avoidanceParallel execution and performance tuningWhy This Book?Instead of theory walls, you get clear explanations, annotated diagrams, and language‑agnostic patterns that map cleanly to C/C++, Java, Go, Rust, and Python. Each chapter closes with pitfalls, anti‑patterns, and mini‑labs to harden your mental model and your code.Who It’s For?Backend engineers, systems programmers, cloud and DevOps practitioners, and CS students who need a solid, OS‑level foundation for concurrency and parallelism.Stop guessing. Build reliable, scalable services that pass code review and production reality. Add this book to your cart today and start mastering concurrency the right way.
U$S 36,87
49% OFF
U$S 18,91
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U$S 36,87
49% OFF
U$S 18,91
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