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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 DescriptionCompilers 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 Contents1. Introduction to Compilers2. Lexical Analysis and Regular Expressions3. Lexical Analyzer Generators and Error Handling4. Syntax Analysis Context-Free Grammars5. Parsing Techniques6. Semantic Analysis Attribute Grammars7. Intermediate Code Generation8. Control Flow9. Run-Time Environment and Memory Management10. Function Calls and Exception Handling11. Code Generation and Instruction Selection12. Register Allocation and Scheduling13. Machine-Independent Optimizations and Local and Global Techniques14. Loop and Peephole Optimization15. Instruction-Level Parallelism and Pipelining16. Optimizing for Parallelism and Locality17. Inter Procedural Analysis and Optimization18. Case Studies and Real-World Examples19. Hands-on Exercises and ProjectsIndex
About the AuthorsSandeep 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.
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. His expertise includes programming languages such as C, Java, Python, along with, machine learning, deep learning, and system software. He has published multiple research papers in reputed platforms like IEEE and Springer, received project funding, and won awards for best research papers. In addition to his academic contributions, he has organized faculty development programs and collaborated with industry partners on training and research initiatives.
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). With over 17 years of experience, he is a senior member of IEEE and ISTE Life Time Member. He served as the secretary of the IEEE Mangalore Sub-Section in 2020-21. Currently, he is the IEEE Student Branch Counselor and Faculty Mentor of the Google Developer Students Club. His areas of expertise include Artificial Intelligence, Machine Learning, Big Data Analytics, Data Analysis, and Cloud Computing, with strong proficiency in Python and MATLAB. Dr. Thomas has also received significant grants for research projects and organized numerous international and national workshops and seminars. His research interests extend to Robotics, Drone Technology, and IoT. He has contributed to over 50 international and national workshops as a distinguished lecturer and organizer.
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. His research interests encompass image processing, pattern recognition, soft computing, and knowledge-based systems.
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. She holds certifications in Python, Full Stack Development, Computer Vision, NLP, MongoDB, and Generative AI. She is passionate about research and innovation and aims to bridge the gap between AI and real-world applications.
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