Название: Kickstart Compiler Design Fundamentals: Practical Techniques and Solutions for Compiler Design, Parsing, Optimization, and Code GenerationАвтор: Sandeep Telkar R, Rajesh Yakkundimath, Likewin Thomas, Divyashree Mallarapu
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 739
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Unveiling Compiler Secrets from Source to Execution.
Key Features:
- Master compiler fundamentals, from lexical analysis to advanced optimization techniques.
- Reinforce concepts with practical exercises, projects, and real-world case studies.
- Explore LLVM, GCC, and industry-standard optimization methods for efficient code generation.
Book Description:
Compilers are the backbone of modern computing, enabling programming languages to power everything from web applications to high-performance systems. Kickstart Compiler Design Fundamentals is the perfect starting point for anyone eager to explore the world of compiler construction.
This book takes a structured, beginner-friendly approach to demystifying core topics such as lexical analysis, syntax parsing, semantic analysis, and code optimization. The chapters follow a progressive learning path, beginning with the basics of function calls, memory management, and instruction selection. As you advance, you’ll dive into machine-independent optimizations, register allocation, instruction-level parallelism, and data flow analysis. You’ll also explore loop transformations, peephole optimization, and cutting-edge compiler techniques used in real-world frameworks like LLVM and GCC. Each concept is reinforced with hands-on exercises, practical examples, and real-world applications.
This book serves as a comprehensive guide to compiler design, taking you from the fundamental concepts to the intricate workings of modern compilers. Whether you are a student, a software developer, or someone deeply interested in understanding how programming languages work behind the scenes, this book will provide detailed insights, real-world applications, and practical implementations of compiler techniques.
Compiler construction is often perceived as complex and abstract, but in reality, it is a fascinating subject that blends theory, mathematics, algorithms, and real-world problem-solving. This book aims to simplify these concepts while maintaining a rigorous and structured approach. We break down each phase of the compilation process, discuss the challenges faced in designing compilers, and explore the techniques used to build efficient, optimized, and secure compilers for different programming languages.
More than just theory, this book equips you with the skills to design, implement, and optimize compilers efficiently. By the end of this book, you will not only understand how compilers work but also be capable of designing and implementing your own compiler from scratch, explored optimization techniques, and gained a deep understanding of code transformation. Don’t miss out on this essential knowledge—kickstart your compiler journey today!
The hands-on approach ensures that you gain practical experience, reinforcing theoretical knowledge through coding exercises and real-world scenarios.
What you will learn:
- Understand core compiler design principles and their real-world applications.
- Master lexical analysis, syntax parsing, and semantic processing techniques.
- Optimize code using advanced loop transformations and peephole strategies.
- Implement efficient instruction selection, scheduling, and register allocation.
- Apply data flow analysis to improve program performance and efficiency.
- Build practical compilers using LLVM, GCC, and real-world coding projects.
Who is this book for?
This book is ideal for students of BE, BTech, BCA, MCA, BS, MS and other undergraduate Computer Science courses, as well as software engineers, system programmers, and compiler enthusiasts looking to grasp the fundamentals of compiler design. Beginners will find easy-to-follow explanations, while experienced developers can explore advanced topics such as optimization and code generation. A basic understanding of programming, data structures, and algorithms is recommended.
Contents:
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