Welcome to “VLSI Physical Design Based Machine Learning,” a collaborative exploration of the intersection between machine learning and VLSI (Very Large Scale Integration) physical design. This book is the result of collective expertise from authors who are passionate about pushing the boundaries of technology and innovation in the field.

As the demand for advanced integrated circuits continues to grow, so does the complexity of their design. Traditional methods often struggle to meet the increasing requirements for performance, power efficiency, and area optimization. Machine learning offers a promising avenue to enhance and revolutionize VLSI physical design processes, enabling smarter and more efficient solutions.

In this book, we aim to bridge the gap between machine learning techniques and VLSI physical design methodologies. Each chapter is crafted to provide a thorough understanding of how machine learning can be applied to various aspects of physical design, from floorplanning and placement to routing and optimization. Our goal is to make this complex subject accessible to a wide audience, including students, researchers, and industry professionals.

The collaborative nature of this project has allowed us to compile diverse perspectives and insights. Each author contributes a unique voice, sharing their research findings, practical experiences, and visionary ideas. This rich tapestry of knowledge not only enhances the depth of the content but also encourages readers to think critically and creatively about the future of VLSI design.

We have structured the book to include both theoretical foundations and practical applications, complemented by real-world case studies and hands-on exercises. This approach ensures that readers can not only grasp the fundamental concepts but also apply them in practical scenarios.

As you embark on this journey through the fascinating world of VLSI physical design and machine learning, we encourage you to engage with the material actively. Stay curious and open to new ideas, as the field is constantly evolving, and your exploration may lead to innovative solutions and breakthroughs.

We are excited to share our insights with you and hope this book serves as a valuable resource in your understanding and application of machine learning in VLSI physical design.

With warm regards,

Dr. Amirthalakshmi T.M

Dr. R. Pavithra Guru

Dr. Sathya S S

Dr.R.Nagalakshmi