Machine Learning Techniques for VLSI Chip Design

This book discusses machine learning techniques for VLSI chip design, covering hardware architecture implementation, software implementation approach, efficient hardware for machine learning applications with FPGA or CMOS circuits, and reducing design time and cost of production. It also covers the learning algorithm for floor planning, routing, mask fabrication, and implementation of the computational architecture for ML-DL, with the future aspect of the algorithm being available in the format of an integrated circuit.

Format: Hardback
Length: 240 pages
Publication date: 18 July 2023
Publisher: John Wiley & Sons Inc

This cutting-edge new volume delves into the intricate realm of hardware architecture implementation, software implementation approaches, and the efficient utilization of machine learning applications with FPGA or CMOS circuits, among numerous other aspects and applications of machine learning techniques for VLSI chip design.

Artificial intelligence (AI) and machine learning (ML) are poised to exert a profound influence on virtually every facet of our lives and the devices we possess. AI has brought about remarkable advancements across various industries, enhancing computational speeds, enabling accurate decision predictions, fostering efficient machine learning (ML) and deep learning (DL) algorithms, and revolutionizing the way we approach complex problems. Within the VLSI industry, the integration of machine learning (ML) has proven to be a game-changer, significantly reducing design time and production costs. By leveraging ML and deep learning (DL) algorithms, designers can identify defects, bugs, and hardware Trojans in the design stage, thereby mitigating losses during manufacturing. However, the challenges associated with ML-DL arise from the need to handle large training datasets, which can be computationally demanding.

This comprehensive book addresses the learning algorithms for floor planning, routing, mask fabrication, and the implementation of computational architectures for ML-DL. Furthermore, the future of ML-DL algorithms is anticipated to manifest in the form of integrated circuits (ICs), enabling users to upgrade their systems by simply replacing outdated ICs. This book primarily focuses on adapting computation blocks such as hardware accelerators and novel nano-materials based on their specific applications, aiming to create intelligent solutions that drive innovation and progress.

Whether you are a beginner in the field of VLSI architecture development or a seasoned professional, this exciting new volume serves as an invaluable reference source. It provides a comprehensive understanding of the latest techniques, tools, and applications, enabling you to stay at the forefront of this rapidly evolving domain.

Weight: 597g
ISBN-13: 9781119910398