Neuromorphic Computing and Beyond : Parallel, Approximation, Near Memory, and Quantum
Mohamed, Khaled Salah
Neuromorphic Computing and Beyond : Parallel, Approximation, Near Memory, and Quantum by Khaled Salah Mohamed - Primera edición 2020 - 1 recurso en línea (XIV, 233 páginas) 179 ilustraciones, 148 ilustraciones a color - Engineering (Springer-11647) .
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.
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.
9783030372248
10.1007/978-3-030-37224-8 doi
Informática
Inteligencia artificial
QA76 / 2020 EB
Neuromorphic Computing and Beyond : Parallel, Approximation, Near Memory, and Quantum by Khaled Salah Mohamed - Primera edición 2020 - 1 recurso en línea (XIV, 233 páginas) 179 ilustraciones, 148 ilustraciones a color - Engineering (Springer-11647) .
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.
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.
9783030372248
10.1007/978-3-030-37224-8 doi
Informática
Inteligencia artificial
QA76 / 2020 EB