Description
The evolution of microprocessors represents one of the most transformative technological
achievements in modern computing, fundamentally reshaping how digital systems process
information, execute control algorithms, and interface with the physical world. This
comprehensive chapter establishes the theoretical foundations and practical understanding
necessary for advanced embedded systems development, progressing systematically from
fundamental architectural concepts through sophisticated parallel processing mechanisms. We
begin with an examination of the critical distinctions between 16-bit and 32-bit architectures,
establishing the groundwork for understanding memory management, addressing schemes, and
computational capabilities. The chapter then delves into the architectural innovations of Intel's
seminal processors, including the foundational 8086 with its revolutionary segmented memory
model, and the groundbreaking 80386 that introduced protected mode operation and virtual
memory management. Advanced topics encompass multicore architectures and their
sophisticated cache coherency mechanisms, hyperthreading technology with its resource
sharing strategies, and the fundamental philosophical differences between CISC and RISC
instruction set architectures. We explore multiprocessor organizations, inter-processor
communication paradigms, and assembly language programming concepts before concluding
with contemporary trends including RISC-V open architecture and real-time embedded
applications. This progression ensures a comprehensive understanding of microprocessor
technology from historical foundations through cutting-edge developments, preparing readers
for advanced embedded systems design and implementation.
Prof. Rupali DineshSharma
Prof. Rupali Dinesh Sharma is a seasoned authority in the realm of advanced microprocessors, microcontrollers, and interfacing, boasting an impressive 18-year track record of specialized experience within her two decades of distinguished teaching. Holding a Master's in Computer Engineering from Mumbai University and an MBA in IT and Systems from Sikkim Manipal University, her formidable technical acumen is further evidenced by her Microsoft Certified Professional Developer certification. Beyond her foundational work in Data Science and the Internet of Things (IoT), Prof. Sharma's authorial contributions are particularly impactful in embedded systems. She has consistently empowered a generation of engineers by guiding numerous student projects and publications. Her acclaimed research has graced prestigious conferences like IEEE and ICETCC, earning her a Best Paper Award. Additionally, her innovative spirit is underscored by multiple design patents and copyrights in cutting-edge computer engineering and applied technologies.
Prof. Sana Firoj Nalband
Prof. Sana Firoj Nalband isa dedicated academician and accomplished author in the field of Computer Engineering. With extensiveexperience in teachingand research, she has developed expertise in microprocessor systems,embedded technologies, and digital electronics. She holds a postgraduate degree in Engineering and has playedan active role in curriculum development, technical workshops, and the mentoring of undergraduate students. Her clear and structured teaching style has made complex subjects more accessible to learners at various levels. Her book, Microprocessor, showcases her in-depth knowledge of the subject and her commitment to simplifying technical concepts. Designed to benefit students, educators, and professionals alike, the book offers a comprehensive, application-oriented approach to microprocessor architecture, programming, and interfacing. Prof. Sana continues to contribute to the academic community through research publications, seminars, and collaborative projects, all aimed at advancing technical education in India.
Prof. Tejali Roshan Mhatre
Prof. Tejali Roshan Mhatre holds an M.E. in Information Technology and has over 12 years of teaching experience. She is currently an Assistant Professor in Bharati Vidyapeeth, Department of Artificial Intelligence and Machine Learning. She has taught subjects such as Computer Organization and Architecture, DBMS, DWM, Software Engineering, and IoT. Her expertise spans both software and hardware, supporting a holistic teaching approach.She has guided student projects, contributed to curriculum development, and engages in faculty development. This book on microprocessors reflects her passion for core computing concepts and commitment to delivering practical, student-friendly learning resources