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Java Concurrency and Parallelism

You're reading from   Java Concurrency and Parallelism Master advanced Java techniques for cloud-based applications through concurrency and parallelism

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805129264
Length 496 pages
Edition 1st Edition
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Author (1):
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Jay Wang Jay Wang
Author Profile Icon Jay Wang
Jay Wang
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing FREE CHAPTER
2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape 3. Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond 4. Chapter 3: Mastering Parallelism in Java 5. Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era 6. Chapter 5: Mastering Concurrency Patterns in Cloud Computing 7. Part 2: Java's Concurrency in Specialized Domains
8. Chapter 6: Java and Big Data – a Collaborative Odyssey 9. Chapter 7: Concurrency in Java for Machine Learning 10. Chapter 8: Microservices in the Cloud and Java’s Concurrency 11. Chapter 9: Serverless Computing and Java’s Concurrent Capabilities 12. Part 3: Mastering Concurrency in the Cloud – The Final Frontier
13. Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics 14. Chapter 11: Advanced Java Concurrency Practices in Cloud Computing 15. Chapter 12: The Horizon Ahead 16. Index 17. Other Books You May Enjoy Appendix A: Setting up a Cloud-Native Java Environment 1. Appendix B: Resources and Further Reading

Unleashing the parallel powerhouse – the Fork/Join framework

The Fork/Join framework unlocks the power of parallel processing, turning your Java tasks into a symphony of collaborating threads. Dive into its secrets, such as work-stealing algorithms, recursive conquers, and optimization strategies, to boost performance and leave sequential cooking in the dust!

Demystifying Fork/Join – a culinary adventure in parallel programming

Imagine stepping into a grand kitchen of parallel computing in Java. This is where the Fork/Join framework comes into play, transforming the art of programming much like a bustling kitchen brimming with skilled chefs. It’s not just about adding more chefs; it’s about orchestrating them with finesse and strategy.

At the heart of this bustling kitchen lies the Fork/Join framework, a masterful tool in Java’s arsenal that automates the division of complex tasks into smaller, more manageable bites. Picture a head chef breaking...

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