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

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 practic...

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Bibliographic Details
Main Author:	Mohamed, Khaled Salah (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Electronic circuits. Computer engineering. Internet of things. Embedded computer systems. Microprocessors. Circuits and Systems. Cyber-physical systems, IoT. Processor Architectures. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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. Introduces in one volume all the trends that can be used to overcome Moore's law limitations; Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers; Compares tradeoffs between the various paradigms discussed.
Physical Description:	1 online resource (XIV, 233 pages 179 illustrations, 148 illustrations in color.)
ISBN:	9783030372248
DOI:	10.1007/978-3-030-37224-8