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Neuromorphic Computing and Beyond: Parallel, Approximation, Near Memory, and Quantum de Khaled Salah Mohamed

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

Autor Khaled Salah Mohamed
en Limba Engleză Hardback – 26 ian 2020
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.  
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Specificații

ISBN-13: 9783030372231
ISBN-10: 3030372235
Pagini: 233
Ilustrații: XIV, 233 p. 179 illus., 148 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.53 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

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