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Getting Started with Compiler Development

Welcome to your journey in Compiler Development! Here are some essential resources to help you build a strong foundation.

  1. Compilers: Principles, Techniques, and Tools by Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman

    • Often referred to as the "Dragon Book," this is a classic text on compiler design that covers all the essential concepts.

  2. Engineering a Compiler by Keith D. Cooper and Linda Torczon

    • This book provides a detailed view of the engineering aspects of compiler construction.

  3. Modern Compiler Implementation in C/Java/ML by Andrew W. Appel

    • This series offers a hands-on approach to compiler construction using different programming languages.

  4. Programming Language Pragmatics by Michael L. Scott

    • This book bridges the gap between programming languages and compilers, offering insights into language design and implementation.

  5. The Art of Compiler Design by Thomas Pittman and James Peters

    • A practical guide to building a compiler, covering various methods and techniques.

C++ Documentation and Resources​

  1. C++ Standard Library Documentation:

    • cppreference.com
    • An excellent online reference for C++ standard library features, including data structures, algorithms, and language features.

  2. The C++ Programming Language by Bjarne Stroustrup

    • A comprehensive book written by the creator of C++, covering language features and best practices.

  3. Effective C++ by Scott Meyers

    • This book provides insights and best practices for writing efficient and maintainable C++ code.

  4. C++ Primer by Stanley B. Lippman, Josée Lajoie, and Barbara E. Moo

    • An introductory book that covers C++ fundamentals and advanced topics, suitable for beginners and experienced programmers alike.

  5. C++ Core Guidelines:

GPU Programming Resources​

  1. Programming Massively Parallel Processors: A Hands-on Approach by David B. Kirk and Wen-mei W. Hwu

    • This book provides a practical introduction to GPU programming using CUDA, covering key concepts in parallel computing.

  2. CUDA Programming:

    • CUDA C Programming Guide
    • Official guide for CUDA programming, offering insights into GPU architecture and parallel programming techniques.

  3. OpenCL Programming Guide:

    • OpenCL Programming Guide
    • A comprehensive guide to OpenCL, the open standard for parallel programming of heterogeneous systems.

  4. GPU Gems:

    • GPU Gems
    • A collection of books that cover advanced techniques for GPU programming.

  5. Hands-On GPU Programming with Python by David A. Pacheco

    • A practical guide to using Python for GPU programming, making it accessible for beginners.

MLIR Resources​

  1. MLIR Documentation: MLIR Docs

    • Official documentation for MLIR, providing insights into its architecture and usage.

  2. MLIR Tutorial: MLIR Tutorial

    • Step-by-step tutorials on how to use MLIR for building custom compiler solutions.

  3. The LLVM MLIR Project: LLVM MLIR

    • Explore the MLIR project within the LLVM community for more resources, including research papers and discussions.

  4. Building a Simple Language with MLIR: Tutorial

    • A practical guide to create a simple programming language using MLIR, which can help in understanding the framework better.

Machine Learning and Compilers​

  1. Machine Learning for Compiler Optimization:

    • Research papers and resources discussing the integration of machine learning techniques in optimizing compilers. ACM Digital Library can be a good place to find such papers.

  2. MLIR for Machine Learning: MLIR Workshop

    • A workshop that focuses on using MLIR for machine learning applications, providing insights into how to leverage MLIR in this domain.

  3. TensorFlow Compiler (XLA):

    • XLA Documentation
    • XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations.

  4. Neural Compiler Optimization:

  5. Deep Learning Compilers:

    • TVM
    • A deep learning compiler stack that enables efficient deployment of machine learning models on various hardware backends.

Online Documentation and Tutorials​

  • LLVM Documentation: LLVM Docs

    • Comprehensive documentation for learning LLVM, a widely-used compiler infrastructure.

  • Learn C/C++: Cplusplus.com

    • Essential for understanding the programming languages often used in compiler development.

  • Clang Documentation: Clang Docs

    • Specific documentation for Clang, a front-end compiler for the C family of programming languages.

  • Programming Languages: Principles and Paradigms: MIT OpenCourseWare

    • A free course offering a solid introduction to the principles behind programming languages.

  • CS50: Introduction to Computer Science: Harvard's CS50 Course

    • A comprehensive introduction to computer science that includes programming languages and compiler principles.

  1. Compilers: Coursera - Stanford University

    • A comprehensive course covering all aspects of compiler design, including lexical analysis, parsing, and optimization.

  2. Programming Languages: edX - Harvard University

    • This course introduces the fundamentals of programming languages, focusing on their design and implementation.

  3. LLVM Tutorial: LLVM Developer’s Guide

    • A step-by-step tutorial to create a simple programming language using LLVM.

  4. GPU Programming and Architecture: Coursera - University of Washington

    • Learn the fundamentals of GPU programming, including architectures and programming models.

  5. MLIR for Machine Learning: MLIR Workshop

    • A workshop that focuses on using MLIR for machine learning applications.

Practical Tools and Resources​

  • Flex & Bison:

    • Tools for generating scanners and parsers. Flex and Bison are widely used in compiler construction.

  • ANTLR (Another Tool for Language Recognition):

    • A powerful parser generator that can be used to build language tools and compilers. ANTLR Website

  • LLVM Playground:

  • GCC (GNU Compiler Collection):

  • Kotlin Compiler:

Free Online Resources​

  • The Little Schemer:

    • A unique book that teaches programming and language concepts through the Scheme programming language. The Little Schemer

  • The Rust Programming Language:

    • Free book on Rust that covers systems programming and compiler concepts. The Rust Book