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Build Your Own Programming Language

You're reading from   Build Your Own Programming Language A programmer's guide to designing compilers, interpreters, and DSLs for modern computing problems

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804618028
Length 556 pages
Edition 2nd Edition
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Author (1):
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Clinton  L. Jeffery Clinton L. Jeffery
Author Profile Icon Clinton L. Jeffery
Clinton L. Jeffery
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section I: Programming Language Frontends
2. Why Build Another Programming Language? FREE CHAPTER 3. Programming Language Design 4. Scanning Source Code 5. Parsing 6. Syntax Trees 7. Section II: Syntax Tree Traversals
8. Symbol Tables 9. Checking Base Types 10. Checking Types on Arrays, Method Calls, and Structure Accesses 11. Intermediate Code Generation 12. Syntax Coloring in an IDE 13. Section III: Code Generation and Runtime Systems
14. Preprocessors and Transpilers 15. Bytecode Interpreters 16. Generating Bytecode 17. Native Code Generation 18. Implementing Operators and Built-In Functions 19. Domain Control Structures 20. Garbage Collection 21. Final Thoughts 22. Section IV: Appendix
23. Answers
24. Other Books You May Enjoy
25. Index
Appendix: Unicon Essentials

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. Collecting recently-allocated objects...

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