Book Image

Supercharge Your Applications with GraalVM

By : A B Vijay Kumar
Book Image

Supercharge Your Applications with GraalVM

By: A B Vijay Kumar

Overview of this book

GraalVM is a universal virtual machine that allows programmers to compile and run applications written in both JVM and non-JVM languages. It improves the performance and efficiency of applications, making it an ideal companion for cloud-native or microservices-based applications. This book is a hands-on guide, with step-by-step instructions on how to work with GraalVM. Starting with a quick introduction to the GraalVM architecture and how things work under the hood, you'll discover the performance benefits of running your Java applications on GraalVM. You'll then learn how to create native images and understand how AOT (ahead-of-time) can improve application performance significantly. The book covers examples of building polyglot applications that will help you explore the interoperability between languages running on the same VM. You'll also see how you can use the Truffle framework to implement any language of your choice to run optimally on GraalVM. By the end of this book, you'll not only have learned how GraalVM is beneficial in cloud-native and microservices development but also how to leverage its capabilities to create high-performing polyglot applications.
Table of Contents (17 chapters)
1
Section 1: The Evolution of JVM
4
Section 2: Getting Up and Running with GraalVM – Architecture and Implementation
8
Section 3: Polyglot with Graal
13
Section 4: Microservices with Graal

Chapter 4 – Graal Just-In-Time Compiler

  1. Graal JIT compilation can be divided into two phases: frontend and backend.

    The frontend phase is platform-independent compilation, where the code is converted to a platform-independent intermediate representation called High-Level Intermediate Representation (HIR), represented via Graal Graphs. This HIR is optimized in three tiers: High, Medium, and Low.

    The backend phase is more platform-dependent compilation, where a Low-Level Intermediate Representation (LIR) is created and optimized at the machine code level. These optimizations are platform dependent.

    Refer to the Graal JIT compilation pipeline and Tiered Optimization section for more details.

  2. Intermediate Representations (IRs) are among the most important data structures for compiler design. IRs provide a graph that helps the compiler understand the structure of the code, identify opportunities, and perform optimizations. Refer to the Graal Intermediate Representation section...