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008			150903s2011 ne | o |||| 0|eng d
020			_a9789400716797 _99789400716797
024	7		_a10.1007/9789400716797 _2doi
035			_avtls000366631
039		9	_a201509030704 _bVLOAD _c201405070429 _dVLOAD _y201402251341 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQC176-176.9
100	1		_aKyung, Chong-Min. _eeditor. _9353152
245	1	0	_aEnergy-Aware System Design : _bAlgorithms and Architectures / _cedited by Chong-Min Kyung, Sungjoo Yoo.
264		1	_aDordrecht : _bSpringer Netherlands, _c2011.
300			_aIx, 291 páginas 208 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aForeword -- 1. Introduction -- 2. Low-Power Circuits: from System-Level Perspective -- 3. Energy-awareness in Processor/Multi-processors Design -- 4. Energy-awareness in Contemporary Memory Systems -- 5. Energy-awareness On-Chip Networks -- 6. Energy-awareness in Video Codec Design -- 7. Energy Generation and Conversion for Portable Electronic Systems -- 8. 3D IC for Low Power/Energy -- 9. Low Power Mobile Storage: SSD Case Study -- 10. Energy-aware Surveillance Camera -- 11. IC Design in Biomedical Implantable Electronics.
520			_aPower consumption becomes the most important design goal in a wide range of electronic systems. There are two driving forces towards this trend: continuing device scaling and ever increasing demand of higher computing power. First, device scaling continues to satisfy Moore’s law via a conventional way of scaling (More Moore) and a new way of exploiting the vertical integration (More than Moore). Second, mobile and IT convergence requires more computing power on the silicon chip than ever. Cell phones are now evolving towards mobile PC. PCs and data centers are becoming commodities in house and a must in industry. Both supply enabled by device scaling and demand triggered by the convergence trend realize more computation on chip (via multi-core, integration of diverse functionalities on mobile SoCs, etc.) and finally more power consumption incurring power-related issues and constraints. Energy-Aware System Design: Algorithms and Architectures provides state-of-the-art ideas for low power design methods from circuit, architecture to software level and offers design case studies in three fast growing areas of mobile storage, biomedical and security. Important topics and features: - Describes very recent advanced issues and methods for energy-aware design at each design level from circuit and architecture to algorithm level, and also covering important blocks including  low power main memory subsystem and on-chip network at architecture level - Explains efficient power conversion and delivery which is becoming important as heterogeneous power sources are adopted for digital and non-digital parts - Investigates 3D die stacking emphasizing temperature awareness for better perspective on  energy efficiency - Presents three practical energy-aware design case studies; novel storage device (e.g., solid state disk), biomedical electronics (e.g., cochlear and retina implants), and wireless surveillance camera systems. Researchers and engineers in the field of hardware and software design will find this book an excellent starting point to catch up with the state-of-the-art ideas of low power design.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aYoo, Sungjoo. _eeditor. _9353153
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9789400716780
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-94-007-1679-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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