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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

Java Microbenchmark Harness

Benchmarking is critical to the ability to measure performance. JMH is a toolkit used to implement rigorous benchmarks. This section explores JMH and its key features and provides implementation examples.

Java Microbenchmark Harness (JMH)

JMH is used to build and implement benchmarks to analyze the performance of Java code. It was written in Java by the team that created the Java Virtual Machine (JVM).

Developers that use JMH can measure the performance of Java code snippets with repeatable and controlled conditions.

Key features

JMH is an open source toolkit used to build and implement benchmarks at the nano, micro, and macro levels. JMH is more than a performance tester; it is designed to overcome or avoid common performance measurement pitfalls, including warm-up times and the effects of just-in-time (JIT) compilations.

Key features of the JMH toolkit include the following:

  • Annotations: As you will see in the next section, JMH...
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