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High-Performance Concurrency & Parallel Programming: Build Fast, Efficient, and Scalable Applications Using Modern Multithreading, Async, and
MNT 62048
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- High-Performance Concurrency & Parallel ProgrammingBuild Fast, Efficient, and Scalable Applications Using Modern Multithreading, Async, and Parallel Computing TechniquesModern software must handle more data, more users, and more computation than ever before. Whether you are building backend services, data pipelines, real-time engines, microservices, or scientific applications, performance is no longer optional—it is essential.This book gives you the practical skills, mental models, and engineering techniques needed to design, build, and optimize high-performance concurrent software. You’ll learn how to fully exploit multicore CPUs, GPUs, async runtimes, distributed systems, and cloud-scale architectures without unnecessary complexity.Written in a clear and approachable style, this book guides you from foundational principles to advanced engineering patterns, helping you understand why things work the way they do and how to apply them effectively in real applications.What You Will Learn✓ The core differences between concurrency and parallelism—and why both matter ✓ How CPU architectures, caches, memory models, and scheduling affect performance ✓ Proven concurrency models: shared memory, message passing, actors, dataflow, tasks ✓ How to design predictable, scalable multithreaded applications ✓ Async programming principles: event loops, futures, promises, structured concurrency ✓ High-performance pipeline patterns such as Map-Reduce, divide-and-conquer, and parallel data structures ✓ Engineering scalable systems using microservices, distributed concurrency, and real-time techniques ✓ Debugging tools and observability strategies for race conditions, deadlocks, and non-deterministic behavior ✓ Optimization strategies that reduce contention, improve throughput, and eliminate hidden costs ✓ Modern workloads: GPU programming, cloud parallelism, serverless scaling, and distributed job schedulingWhether you're a beginner learning concurrency for the first time or an experienced developer looking to refine your performance engineering skills, this book provides practical explanations, real-world examples, benchmarks, templates, and frameworks you can use immediately.Who This Book Is ForBackend engineersSystems and performance engineersCloud and distributed systems developersData engineers and HPC practitionersSoftware architectsAnyone who wants to build fast, scalable applicationsIf you want to design software that scales gracefully under load, handles concurrency safely, and performs efficiently on modern hardware—this book is for you.Why This Book Stands OutThis is not a theoretical overview. It is a hands-on, deeply practical guide written to help you think like a performance engineer. Each chapter breaks down complex concepts into clear explanations, concrete patterns, and actionable insights you can apply immediately to real projects.You will walk away with a strong understanding of both the fundamentals and the advanced techniques necessary to build high-performance applications.🔥 Ready to Build Faster, Smarter, and More Scalable Software?Don’t wait until performance problems show up in production. Take control of concurrency—and give your applications the speed, stability, and scalability they deserve.👉 Start reading High-Performance Concurrency & Parallel Programming today and transform the way you build software.
| Publication date | December 20, 2025 |
| Language | English |
| File size | 783 KB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 441 pages |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
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High-Performance Concurrency & Parallel Programming: Build Fast, Efficient, and Scalable Applications Using Modern Multithreading, Async, and Parallel Computing Techniques
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