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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 13

  1. There are many new concepts in native code. These include many kinds and sizes of registers and main memory access modes. Choosing from many possible underlying instruction sequences is also important.
  2. Even with the runtime addition required, addresses that are stored as offsets relative to the instruction pointer may be more compact and may take advantage of instruction prefetching in the pipelined architecture, to provide faster access to global variables than specifying them using absolute addresses.
  3. Function call speed is important because modern software is often organized into many frequently called tiny functions. The x64 architecture performs fast function calls if functions take advantage of passing the first six parameters in registers. Several aspects of x64 architecture seem to have the potential to reduce execution speed, such as a need to save and restore large numbers of registers to memory before and after a call.

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