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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

Understanding Graal compiler optimizations

The Graal compiler performs some of the most advanced optimizations on the code just in time. The most critical ones are discussed in the following subsections.

Before getting into this session, please refer to the Understanding the optimizations performed by JIT section of Chapter 2, JIT, HotSpot, and GraalJIT.

Speculative optimization

JIT compilation relies heavily on the runtime profiling of the code. As we have seen, the graphs are optimized based on the HotSpots. HotSpots, as we covered in Chapter 2, JIT, HotSpot, and GraalJIT, are the control flows that the program goes through most frequently. There is no point in trying to optimize the whole code; instead, the JIT compiler tries to optimize the hot control paths/flows. This is based on speculation and assumption. When an assumption is proven wrong during execution, the compiler quickly deoptimizes and waits for another opportunity to optimize based on new HotSpots. We covered...

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