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Neuromorphic computing and beyondpar...
~
Mohamed, Khaled Salah.
Neuromorphic computing and beyondparallel, approximation, near memory, and quantum /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Neuromorphic computing and beyondby Khaled Salah Mohamed.
Reminder of title:
parallel, approximation, near memory, and quantum /
Author:
Mohamed, Khaled Salah.
Published:
Cham :Springer International Publishing :2020.
Description:
xiv, 233 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computer science.
Online resource:
https://doi.org/10.1007/978-3-030-37224-8
ISBN:
9783030372248$q(electronic bk.)
Neuromorphic computing and beyondparallel, approximation, near memory, and quantum /
Mohamed, Khaled Salah.
Neuromorphic computing and beyond
parallel, approximation, near memory, and quantum /[electronic resource] :by Khaled Salah Mohamed. - Cham :Springer International Publishing :2020. - xiv, 233 p. :ill., digital ;24 cm.
An Introduction: New Trends in Computing -- Numerical Computing -- Parallel Computing: OpenMP, MPI, and CUDA -- Deep Learning and Cognitive computing: Pillars and Ladders -- Approximate Computing: Towards Ultra Low Power Systems Design -- Near-Memory/In-Memory Computing: Pillars and Ladders -- Quantum Computing and DNA Computing: Beyond Conventional Approaches -- Cloud, Fog and Edge Computing -- Reconfigurable and Heterogeneous Computing -- Conclusion -- Index.
This book discusses and compares several new trends that can be used to overcome Moore's law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms. Introduces in one volume all the trends that can be used to overcome Moore's law limitations; Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers; Compares tradeoffs between the various paradigms discussed.
ISBN: 9783030372248$q(electronic bk.)
Standard No.: 10.1007/978-3-030-37224-8doiSubjects--Topical Terms:
199325
Computer science.
LC Class. No.: QA76 / .M643 2020
Dewey Class. No.: 004
Neuromorphic computing and beyondparallel, approximation, near memory, and quantum /
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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.
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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.
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EB QA76 .M697 2020 2020
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https://doi.org/10.1007/978-3-030-37224-8
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