000 03484nam a22005055i 4500
001 vtls000542856
003 RU-ToGU
005 20210922082406.0
007 cr nn 008mamaa
008 160915s2014 gw | s |||| 0|eng d
020 _a9783319049427
_9978-3-319-04942-7
024 7 _a10.1007/978-3-319-04942-7
_2doi
035 _ato000542856
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTK7888.4
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
082 0 4 _a621.3815
_223
100 1 _aKritikakou, Angeliki.
_eauthor.
_9448565
245 1 0 _aScalable and Near-Optimal Design Space Exploration for Embedded Systems
_helectronic resource
_cby Angeliki Kritikakou, Francky Catthoor, Costas Goutis.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVII, 277 p. 80 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aIntroduction & Motivation -- Reusable DSE methodology for scalable & near-optimal frameworks -- Part I Background memory management methodologies -- Development of intra-signal in-place methodology -- Pattern representation -- Intra-signal in-place methodology for non-overlapping scenario -- Intra-signal in-place methodology for overlapping scenario -- Part II Processing related mapping methodologies -- Design-time scheduling techniques DSE framework -- Methodology to develop design-time scheduling techniques under constraints -- Design Exploration Methodology for Microprocessor & HW accelerators -- Conclusions & Future Directions.
520 _aThis book describes scalable and near-optimal, processor-level design space exploration (DSE) methodologies.  The authors present design methodologies for data storage and processing in real-time, cost-sensitive data-dominated embedded systems.  Readers will be enabled to reduce time-to-market, while satisfying system requirements for performance, area, and energy consumption, thereby minimizing the overall cost of the final design.   • Describes design space exploration (DSE) methodologies for data storage and processing in embedded systems, which achieve near-optimal solutions with scalable exploration time; • Presents a set of principles and the processes which support the development of the proposed scalable and near-optimal methodologies; • Enables readers to apply scalable and near-optimal methodologies to the intra-signal in-place optimization step for both regular and irregular memory accesses.
650 0 _aengineering.
_9224332
650 0 _aComputer Science.
_9155490
650 0 _aelectronics.
_9303071
650 0 _aSystems engineering.
_9303074
650 1 4 _aEngineering.
_9224332
650 2 4 _aCircuits and Systems.
_9303075
650 2 4 _aProcessor Architectures.
_9303114
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_9303076
650 2 4 _aEnergy, general.
_9410515
700 1 _aCatthoor, Francky.
_eauthor.
_9314850
700 1 _aGoutis, Costas.
_eauthor.
_9448566
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04942-7
912 _aZDB-2-ENG
999 _c400222