Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum

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Khaled Salah Mohamed

Neuromorphic Computing and Beyond

Parallel, Approximation, Near Memory, and Quantum

Khaled Salah Mohamed

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English

Springer Nature Switzerland AG
26 January 2021

Electrical engineering; Circuits & components; Grid & parallel computing; Computer architecture & logic design

This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.

By: Khaled Salah Mohamed
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2020
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9783030372262
ISBN 10: 303037226X
Pages: 233
Publication Date: 26 January 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Khaled Salah Mohamed attended the school of engineering, Department of Electronics and Communications at Ain-Shams University from 1998 to 2003, where he received his B.Sc. degree in Electronics and Communications Engineering with distinction and honors. He received his Masters degree in Electronics from Cairo University, Egypt in 2008. He received his PhD degree in 2012. Dr. Khaled Salah is currently a Technical Lead at the Emulation division at Mentor Graphic, Egypt. Dr. Khaled Salah has published a large number of papers in in the top refereed journals and conferences. His research interests are in 3D integration, IP Modeling, and SoC design.