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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

Chapter 11: Bytecode Interpreters

A new programming language may include novel features that are not supported directly by mainstream CPUs. The most practical way to generate code for many programming languages is to generate bytecode for an abstract machine whose instruction set directly supports the language's intended domain. This is important because it sets your language free from the constraints of what current hardware CPUs know how to do. It also allows it to generate code that is tied more closely to the types of problems that you want to solve. If you create your own bytecode instruction set, you can execute programs by writing a virtual machine that knows how to interpret that instruction set. This chapter covers how to design an instruction set and an interpreter that executes bytecode. Because this chapter is tightly connected to Chapter 12, Generating Bytecode, you may want to read them both before you dive into the code.

This chapter covers the following main...

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