000 04269nam a22004935i 4500
001 978-94-007-1679-7
003 DE-He213
005 20140220083834.0
007 cr nn 008mamaa
008 110616s2011 ne | s |||| 0|eng d
020 _a9789400716797
_9978-94-007-1679-7
024 7 _a10.1007/978-94-007-1679-7
_2doi
050 4 _aQC176-176.9
072 7 _aPNFS
_2bicssc
072 7 _aSCI077000
_2bisacsh
082 0 4 _a530.41
_223
100 1 _aKyung, Chong-Min.
_eeditor.
245 1 0 _aEnergy-Aware System Design
_h[electronic resource] :
_bAlgorithms and Architectures /
_cedited by Chong-Min Kyung, Sungjoo Yoo.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2011.
300 _aIX, 291p. 208 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aPhysics.
650 0 _aElectronic data processing.
650 0 _aSystems engineering.
650 0 _aElectric engineering.
650 1 4 _aPhysics.
650 2 4 _aSolid State Physics.
650 2 4 _aCircuits and Systems.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aEnergy Technology.
650 2 4 _aComputing Methodologies.
700 1 _aYoo, Sungjoo.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789400716780
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-007-1679-7
912 _aZDB-2-PHA
999 _c109546
_d109546