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Supercharge Your Applications with GraalVM

You're reading from   Supercharge Your Applications with GraalVM Hands-on examples to optimize and extend your code using GraalVM's high performance and polyglot capabilities

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800564909
Length 360 pages
Edition 1st Edition
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Author (1):
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A B Vijay Kumar A B Vijay Kumar
Author Profile Icon A B Vijay Kumar
A B Vijay Kumar
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Table of Contents (17) Chapters Close

Preface 1. Section 1: The Evolution of JVM
2. Chapter 1: Evolution of Java Virtual Machine FREE CHAPTER 3. Chapter 2: JIT, HotSpot, and GraalJIT 4. Section 2: Getting Up and Running with GraalVM – Architecture and Implementation
5. Chapter 3: GraalVM Architecture 6. Chapter 4: Graal Just-In-Time Compiler 7. Chapter 5: Graal Ahead-of-Time Compiler and Native Image 8. Section 3: Polyglot with Graal
9. Chapter 6: Truffle for Multi-language (Polyglot) support 10. Chapter 7: GraalVM Polyglot – JavaScript and Node.js 11. Chapter 8: GraalVM Polyglot – Java on Truffle, Python, and R 12. Chapter 9: GraalVM Polyglot – LLVM, Ruby, and WASM 13. Section 4: Microservices with Graal
14. Chapter 10: Microservices Architecture with GraalVM 15. Assessments 16. Other Books You May Enjoy

Taking a deep dive into HotSpot and the C2 JIT compiler

In the previous chapter, we walked through the evolution of JVM and how the C2 JIT compiler evolved. In this section, we will dig deeper into the JVM C2 JIT compiler. Using sample code, we will go through the optimizations that the JIT compiler performs at runtime. To appreciate the Graal JIT compiler, it is very important to understand how the C2 JIT compiler works.

Profile-guided optimization is the key principle for JIT compilers. While AOT compilers can optimize the static code, most of the time, that is just not good enough. It's important to understand the runtime characteristics of the application to identify opportunities for optimization. JVM has a built-in profiler that dynamically instruments the application to profile some key parameters and to identify opportunities for optimizations. Once identified, it will compile that code to the native language and switch from running the interpreted code to faster-compiled...

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