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A Survey on Machine Learning Applications in VLSI CAD

Year: 2024

Type: article

Abstract: The incorporation of machine learning (ML) methodologies into VLSI computer-aided design (CAD) procedures is gaining prominence owing to its capacity to enhance design efficiency, forecast performance, and diminish time-tomarket. This literature overview examines the advanced machine learning techniques used at many phases of VLSI design. This review synthesizes data from current research articles, emphasizing the strengths, limits, and prospective avenues for machine learning implementations in VLSI CAD.

Source: International Journal of Computer Science & Engineering Survey

DOI: 10.5121/ijcses.2024.15501

Authors: K Shekar, Sandhya Rachamalla

Institution: Osmania University

Language: English

Topic: VLSI and FPGA Design Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404768640

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