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.
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.
Table of Contents
1. Introduction to Compilers
2. Lexical Analysis and Regular Expressions
3. Lexical Analyzer Generators and Error Handling
4. Syntax Analysis Context-Free Grammars
5. Parsing Techniques
6. Semantic Analysis Attribute Grammars
7. Intermediate Code Generation
8. Control Flow
9. Run-Time Environment and Memory Management
10. Function Calls and Exception Handling
11. Code Generation and Instruction Selection
12. Register Allocation and Scheduling
13. Machine-Independent Optimizations and Local and Global Techniques
14. Loop and Peephole Optimization
15. Instruction-Level Parallelism and Pipelining
16. Optimizing for Parallelism and Locality
17. Inter Procedural Analysis and Optimization
18. Case Studies and Real-World Examples
19. Hands-on Exercises and Projects
Index
About the Authors
Sandeep Telkar R is an Assistant Professor in the AIML Department at PES Institute of Technology and Management, Shimoga. He brings extensive teaching experience in AI, ML, and Computer Science. He holds an M.Tech in Digital Communication and Networking, as well as a B.E. in Information Science and Engineering.
Dr. Likewin Thomas is an accomplished Associate Professor and Head of the Department of AI and ML at PES Institute of Technology and Management (PESITM), Shivamogga. He holds a Ph.D. and M.Tech from NITK Surathkal, and a B.E. from Visvesvaraya Technological University (VTU).
Dr. Rajesh Yakkundimath, Ph.D., is a Professor and Head of the Department of Computer Science & Engineering at K.L.E. Institute of Technology, Hubballi, Karnataka, India. He brings over 16 years of teaching experience and has authored approximately 40 research papers, published in both journals and conferences.
Divyashree Mallarapu is an aspiring AI and ML engineer with expertise in Python, Java, web development, and AI-driven solutions. She has gained hands-on experience through internships at ResoluteAI Software as an AI Engineer Intern and at InternPe, working on projects in image segmentation, OCR, predictive maintenance, and AI model deployment.
