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

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

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Bibliographic Details
Author / Creator:	Mohamed, Khaled Salah.
Edition:	1st ed. 2020.
Imprint:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Description:	1 online resource (XIV, 233 p. 179 illus., 148 illus. in color. :) online resource.
Language:	English
Subject:	Electronic circuits. Computer engineering. Internet of things. Embedded computer systems. Microprocessors. Computer engineering. Electronic circuits. Embedded computer systems. Internet of things. Microprocessors.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12605560

Hidden Bibliographic Details
ISBN:	9783030372248 3030372243 9783030372231 3030372235 9783030372255 3030372251 9783030372262 303037226X
Digital file characteristics:	text file PDF
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.
Other form:	Printed edition: 9783030372231 Printed edition: 9783030372255 Printed edition: 9783030372262
Standard no.:	10.1007/978-3-030-37224-8

Table of Contents:

An Introduction: New Trends in Computing
Numerical Computing
Parallel Computing: OpenMP, MPI, and CUDA
Deep Learning and Cognitive computing: Pillars and Ladders
Approximate Computing: Towards Ultra Low Power Systems Design
Near-Memory/In-Memory Computing: Pillars and Ladders
Quantum Computing and DNA Computing: Beyond Conventional Approaches
Cloud, Fog and Edge Computing
Reconfigurable and Heterogeneous Computing
Conclusion
Index.