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Build Your Own Programming Language

Build Your Own Programming Language

By : Clinton L. Jeffery
4.4 (17)
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Build Your Own Programming Language

Build Your Own Programming Language

4.4 (17)
By: Clinton L. Jeffery

Overview of this book

The need for different types of computer languages is growing rapidly and developers prefer creating domain-specific languages for solving specific application domain problems. Building your own programming language has its advantages. It can be your antidote to the ever-increasing size and complexity of software. In this book, you’ll start with implementing the frontend of a compiler for your language, including a lexical analyzer and parser. The book covers a series of traversals of syntax trees, culminating with code generation for a bytecode virtual machine. Moving ahead, you’ll learn how domain-specific language features are often best represented by operators and functions that are built into the language, rather than library functions. We’ll conclude with how to implement garbage collection, including reference counting and mark-and-sweep garbage collection. Throughout the book, Dr. Jeffery weaves in his experience of building the Unicon programming language to give better context to the concepts where relevant examples are provided in both Unicon and Java so that you can follow the code of your choice of either a very high-level language with advanced features, or a mainstream language. By the end of this book, you’ll be able to build and deploy your own domain-specific languages, capable of compiling and running programs.
Table of Contents (25 chapters)
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1
Section 1: Programming Language Frontends
7
Section 2: Syntax Tree Traversals
13
Section 3: Code Generation and Runtime Systems
21
Section 4: Appendix

Summary

This chapter showed you a lot about garbage collection. You learned what garbage is, how it comes about, and saw two very different ways to deal with it. The easy way, popularized by some early Lisp systems and early versions of Python, is called reference counting. In reference counting, the allocated objects themselves are made responsible for their collection. This usually works.

The more difficult form of garbage collection involves finding all the live data in the program and usually moving it to avoid memory fragmentation. Finding the live data is generally recursive, requires traversing stacks to find references in parameters and local variables, and is usually an onerous and low-level task. Many variations on this general idea have been implemented. One of the primary observations, which some garbage collectors exploit, is that most allocated objects are used for only a short time and then become garbage almost immediately.

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