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008			200125s2020 gw a o |||| 0|eng d
020			_a9783030372248
024	7		_a10.1007/978-3-030-37224-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76 _b2020 EB
100	1		_aMohamed, Khaled Salah _997289
245	1	0	_aNeuromorphic Computing and Beyond : _bParallel, Approximation, Near Memory, and Quantum _cby Khaled Salah Mohamed
250			_aPrimera edición 2020
264		1	_aCham _bSpringer _c2020
300			_a1 recurso en línea (XIV, 233 páginas) _b 179 ilustraciones, 148 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aAn 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.
520	3		_aThis 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.
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _aInformática _9139268
650		7	_2embne _aInteligencia artificial _9413115
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030372231
776	0	8	_iPrinted edition: _z9783030372255
776	0	8	_iPrinted edition: _z9783030372262
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-37224-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2020 _dz _eu _zSI