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Neuromorphic computing and beyond : parallel, approximation, near memory, and quantum

Neuromorphic computing and beyond : parallel, approximation, near memory, and quantum

Material type
단행본
Personal Author
Mohamed, Khaled Salah.
Title Statement
Neuromorphic computing and beyond : parallel, approximation, near memory, and quantum / Khaled Salah Mohamed.
Publication, Distribution, etc
Cham :   Springer,   2020.  
Physical Medium
xiv, 233 p. : ill. (some col.) ; 25 cm.
ISBN
9783030372231
요약
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.
Bibliography, Etc. Note
Includes bibliographical references(p.227-233) and index.
Subject Added Entry-Topical Term
Artificial intelligence. Computer science.
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005 20210112144444
008 210111s2020 enka b 001 0 eng d
020 ▼a 9783030372231
035 ▼a (KERIS)BIB000015620149
040 ▼a 224011 ▼c 224011 ▼d 211009
050 4 ▼a QA76
082 0 4 ▼a 004 ▼2 23
084 ▼a 004 ▼2 DDCK
090 ▼a 004 ▼b M697n
100 1 ▼a Mohamed, Khaled Salah.
245 1 0 ▼a Neuromorphic computing and beyond : ▼b parallel, approximation, near memory, and quantum / ▼c Khaled Salah Mohamed.
260 ▼a Cham : ▼b Springer, ▼c 2020.
300 ▼a xiv, 233 p. : ▼b ill. (some col.) ; ▼c 25 cm.
504 ▼a Includes bibliographical references(p.227-233) and index.
520 ▼a 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.
650 0 ▼a Artificial intelligence.
650 0 ▼a Computer science.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 004 M697n Accession No. 121256077 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

1. An Introduction: New Trends in Computing2. Numerical Computing3. Parallel Computing: OpenMP, MPI, and CUDA4. Deep Learning and Cognitive computing: Pillars and Ladders5. Approximate Computing: Towards Ultra Low Power Systems Design6. Near-Memory/In-Memory Computing: Pillars and Ladders7. Quantum Computing and DNA Computing: Beyond Conventional Approaches8. Cloud, Fog and Edge Computing9. Reconfigurable and Heterogeneous Computing10. ConclusionIndex

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