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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.
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
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.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 248 |
Inhalt: |
xiv
233 S. 31 s/w Illustr. 148 farbige Illustr. 233 p. 179 illus. 148 illus. in color. |
ISBN-13: | 9783030372231 |
ISBN-10: | 3030372235 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Mohamed, Khaled Salah |
Auflage: | 1st ed. 2020 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 241 x 160 x 20 mm |
Von/Mit: | Khaled Salah Mohamed |
Erscheinungsdatum: | 26.01.2020 |
Gewicht: | 0,541 kg |
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.
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
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.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Seiten: | 248 |
Inhalt: |
xiv
233 S. 31 s/w Illustr. 148 farbige Illustr. 233 p. 179 illus. 148 illus. in color. |
ISBN-13: | 9783030372231 |
ISBN-10: | 3030372235 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Mohamed, Khaled Salah |
Auflage: | 1st ed. 2020 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 241 x 160 x 20 mm |
Von/Mit: | Khaled Salah Mohamed |
Erscheinungsdatum: | 26.01.2020 |
Gewicht: | 0,541 kg |