Integrated Devices for Artificial Intelligence and VLSI

7Applications of AI/ML Algorithms in VLSI Design and Technology

Jaswinder Singh and Damanpreet Singh*

Department of Computer Science & Engineering, SLIET Longowal, Sangrur, (India)

Abstract

Very large-scale integration (VLSI) is the process of combining a large number of transistors on a single chip to form an integrated circuit. VLSI development is rapidly moving toward the efficient design of a single chip. However, VLSI design faces numerous challenges, including power optimization, design productivity, manufacturing variability and testability. Conventional methodologies are primarily manual, time-consuming and resource-intensive. Artificial Intelligence (AI) and Machine Learning (ML) techniques, on the other hand, provide automated learning approaches for dealing with large amounts of data in complex chip design. Furthermore, incorporating machine learning algorithms can improve system-on-chip performance. AI/ML is becoming more important in VLSI design due to its numerous applications in both logical and physical design. As a result, AI/ML has become an essential component in the VLSI industry. This chapter discusses popular ML algorithms, their mathematical foundations, performance metrics, and how AI and ML applications can transform VLSI design by allowing for high-speed, intelligent and efficient implementations.

Keywords: Artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, VLSI design, classification, data clustering, ...