Guide to ILDJIT Guide to ILDJIT
    • $39.99

Publisher Description

This book is a guide to getting started with ILDJIT, a compilation framework designed to be both easily extensible and easily configurable.

Within this framework, it is possible to build a tool-chain by customizing ILDJIT for specific purposes. Customizations can be used within both static and dynamic compilers already included in the framework without adaptations. Moreover, customizations allow modification of both the behaviors and the characteristics of these compilers to better satisfy the particular need. Currently, ILDJIT is able to translate bytecode programs to generate machine code for both Intel x86 and ARM processors. By relying on ILDJIT technology, more input languages or platforms can be supported.
After an introduction to ILDJIT, this guide goes into detail on how to exploit it by extending the framework to match specific requirements. Finally, there is an introduction and discussion of the design choices followed during the authors’ years of development efforts towards ILDJIT.

GENRE
Computers & Internet
RELEASED
2011
September 15
LANGUAGE
EN
English
LENGTH
110
Pages
PUBLISHER
Springer London
SELLER
Springer Nature B.V.
SIZE
1.1
MB
Learn LLVM 12 Learn LLVM 12
2021
Self-Sustaining Systems Self-Sustaining Systems
2008
Supercharge Your Applications with GraalVM Supercharge Your Applications with GraalVM
2021
Practical C++ Design Practical C++ Design
2021
Handbook of Open Source Tools Handbook of Open Source Tools
2010
Design Patterns and Best Practices in Java Design Patterns and Best Practices in Java
2018
The Amazing Journey of Reason The Amazing Journey of Reason
2019
The Mathematical Theory of Semantic Communication The Mathematical Theory of Semantic Communication
2025
Developing Sustainable and Energy-Efficient Software Systems Developing Sustainable and Energy-Efficient Software Systems
2023
Health Informatics in the Cloud Health Informatics in the Cloud
2012
Objective Information Theory Objective Information Theory
2023
Manifold Learning Manifold Learning
2024