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

Author:   Khaled Salah Mohamed
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030372262


Pages:   233
Publication Date:   26 January 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum


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Overview

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.  

Full Product Details

Author:   Khaled Salah Mohamed
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030372262


ISBN 10:   303037226
Pages:   233
Publication Date:   26 January 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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Author Information

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.

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