VLSI and hardware implementations using modern machine learning methods / editors, Sandeep Saini, Kusum Lata, G.R. Sinha.

Format:

Book

Contributor:

Saini, Sandeep, editor.

Lata, Kusum (Electronics engineer), editor.

Sinha, G. R., 1975- editor.

Language:

English

Subjects (All):

Integrated circuits--Very large scale integration--Design and construction--Data processing.

Integrated circuits.

Machine learning.

Physical Description:

1 online resource (329 pages)

Edition:

First edition.

Other Title:

Very large scale integration and hardware implementations using modern machine learning methods

Place of Publication:

Boca Raton, FL: CRC Press, [2022]

Summary:

"Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"-- Provided by publisher.

Contents:

VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha

Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey

Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781003201038

1003201032

9781000523812

1000523810

9781000523843

1000523845

OCLC:

1273727314