© 2020

Neuromorphic Computing and Beyond

Parallel, Approximation, Near Memory, and Quantum


Table of contents

  1. Front Matter
    Pages i-xiv
  2. Khaled Salah Mohamed
    Pages 1-13
  3. Khaled Salah Mohamed
    Pages 15-61
  4. Khaled Salah Mohamed
    Pages 63-93
  5. Khaled Salah Mohamed
    Pages 167-186
  6. Khaled Salah Mohamed
    Pages 199-208
  7. Khaled Salah Mohamed
    Pages 209-224
  8. Khaled Salah Mohamed
    Pages 225-226
  9. Back Matter
    Pages 227-233

About this book


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.


cognitive computing In-memory computing Approximate computing Quantum and DNA computing More than Moore

Authors and affiliations

  1. 1.A Siemens BusinessMentorHeliopolisEgypt

About the authors

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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