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High Performance with Java

You're reading from   High Performance with Java Discover strategies and best practices to develop high performance Java applications

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835469736
Length 306 pages
Edition 1st Edition
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Author (1):
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Dr. Edward Lavieri Jr. Dr. Edward Lavieri Jr.
Author Profile Icon Dr. Edward Lavieri Jr.
Dr. Edward Lavieri Jr.
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Table of Contents (26) Chapters Close

Preface 1. Part 1: Code Optimization FREE CHAPTER
2. Chapter 1: Peeking Inside the Java Virtual Machine 3. Chapter 2: Data Structures 4. Chapter 3: Optimizing Loops 5. Chapter 4: Java Object Pooling 6. Chapter 5: Algorithm Efficiencies 7. Part 2: Memory Optimization and I/O Operations
8. Chapter 6: Strategic Object Creation and Immutability 9. Chapter 7: String Objects 10. Chapter 8: Memory Leaks 11. Part 3: Concurrency and Networking
12. Chapter 9: Concurrency Strategies and Models 13. Chapter 10: Connection Pooling 14. Chapter 11: Hypertext Transfer Protocols 15. Part 4: Frameworks, Libraries, and Profiling
16. Chapter 12: Frameworks for Optimization 17. Chapter 13: Performance-Focused Libraries 18. Chapter 14: Profiling Tools 19. Part 5: Advanced Topics
20. Chapter 15: Optimizing Your Database and SQL Queries 21. Chapter 16: Code Monitoring and Maintenance 22. Chapter 17: Unit and Performance Testing 23. Chapter 18: Leveraging Artificial Intelligence (AI) for High-Performance Java Applications 24. Index 25. Other Books You May Enjoy

Optimizing Loops

Loops are fundamental programming constructs that are not terribly difficult to understand or write. We use them to iterate through our application’s data structures and perform repetitive tasks. We often take loops for granted based on their simple syntax and readability. When performance is a concern, loops have a duality. On one side, loops serve as a fundamental construct for efficient data processing. On the other side, poorly optimized loops can introduce significant bottlenecks and degrade the overall performance of our Java applications.

Concepts covered in this chapter include loop overhead, loop unrolling, benchmarks, loop fusion, loop parallelization, and loop vectorization. We will use code examples to provide insights and demonstrate best practices.

This chapter covers the following main topics:

  • Types of loops
  • Testing loops for performance
  • Nested loops

This chapter explores techniques, strategies, and best practices...

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