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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

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781800564909

Length 360 pages

Edition 1st Edition

Languages

Java

Tools

LLVM

Concepts

High Performance Programming

Author (1):

A B Vijay Kumar

View More author details

Table of Contents (17) Chapters

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

Generating Graal graphs for native images

Graal graphs can be generated even for native images. Graal graphs can be generated during build time or at runtime. Let's explore this feature in this section using our FibonnaciCalculator application.

Let's generate the dump for FibonacciCalculator using this command:

native-image -H:Dump=1 FibonacciCalculator

The following is the output:

 native-image -H:Dump=1 FibonacciCalculator
[fibonaccicalculator:54143]  classlist:  811.75 ms,    0.96 GB
[fibonaccicalculator:54143]      (cap):  4,939.64 ms,  0.96 GB
[fibonaccicalculator:54143]      setup:  6,923.28 ms,  0.96 GB
[fibonaccicalculator:54143]   (clinit):  155.70 ms,    2.29 GB
[fibonaccicalculator:54143]  typeflow):  3,841.07 ms,  2.29 GB
[fibonaccicalculator...

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Authors (1)

A B Vijay Kumar

A B Vijay Kumar

A B Vijay Kumar is an "IBM Distinguished Engineer" and chief technology officer focused on hybrid cloud management and platform engineering. He is responsible for providing technology strategies for managing complex application portfolios on hybrid cloud platforms using emerging tools and technologies. He is an IBM Master Inventor who has more than 31 patents issued and 30 pending in his name. He has more than 23 years' experience at IBM. He is recognized as a subject matter expert for his contribution to advanced mobility in automation and has led several implementations involving complex industry solutions. He specializes in mobile, cloud, container, automotive, sensor-based machine-to-machine, Internet of Things, and telematics technologies.

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