000			02752nam a22003015i 4500
001			401886
003			DE-He213
005			20240514120030.0
007			cr nn 008mamaa
008			231230s2024 sz | o |||| 0|eng d
020			_a9783031507144
024	7		_a10.1007/978-3-031-50714-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7895.E42 _b2024 EB
100	1		_aMelikyan, Vazgen. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aMachine Learning-based Design and Optimization of High-Speed Circuits _cby Vazgen Melikyan
250			_a1st ed. 2024.
264		1	_aCham _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aIntroduction -- Means to accelerate transfer of information between integrated circuits -- Design methods of integrated circuits, working under non-standard operating conditions -- Signal transmittance adjustment systems in integrated circuits -- Methods to improve linearity of signal's analog-to-digital conversion with self-calibration -- Design of high performance heterogenous integrated circuits -- 6 Design of digital integrated circuits by improving the characteristics of digital cells.
520			_aThis book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores. Describes methods of design and optimization of circuits which can exchange information at 128/256/512 GB per second; Includes methods for practically all types of high-speed circuits: mixed-signal, heterogeneous, digital, etc; Design methods presented are machine learning-based and apply to 14nm and below technologies of IC manufacturing.
942			_2lcc _cLE
988			_aSpringer_Engineering_2024
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-50714-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
999			_c401886 _d401886