000			03433nam a22004215i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
999			_c102334 _d102334 _x1
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003			DE-He213
005			20230102113036.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			180426s2018 gw | s |||| 0|eng d
020			_a9783319774794
024	7		_a10.1007/978-3-319-77479-4 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.5 _b2020 EB
100	1		_aPagani, Santiago _9673372
245	1	0	_aAdvanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores _cby Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (L, 250 páginas) _b116 ilustraciones, 1 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		_aIntroduction -- Background and Related Work -- System Model -- Experimental Framework -- Thermal Safe Power (TSP) -- Transient and Peak Temperature Computation based on Matrix Exponentials (MatEx) -- Selective Boosting for Multicore Systems (seBoost) -- Energy and Peak Power Efficiency Analysis for Simple Approximation Schemes -- Energy-Efficient Task-to-core Assignment for Homogeneous Clustered Manycores -- Energy-Efficient Task-to-core Assignment for Heterogeneous Clustered Manycores -- Conclusions.
520	3		_aThis book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints. Provides a comprehensive introduction to energy, power, and temperature management, highlighting the different optimization goals, particularly computational performance, power and energy consumption, and temperature; Highlights the differences and similarities between the two key challenges of performance optimization under power or thermal constraints and energy minimization under performance constraints; Discusses in detail several means that can be used to optimize performance or energy while satisfying the desired constraints, including core heterogeneity, task-to-core assignment/mapping, dynamic power management (DPM), and dynamic voltage and frequency scaling (DVFS).
988			_aEBSPRINGER_2018
650		7	_2embne _9673019 _aMultiprocesadores
700	1		_aChen, Jian-Jia. _eautor _1http://viaf.org/viaf/6257016/
700	1		_aShafique, Muhammad. _eautor. _0http://id.loc.gov/authorities/names/n2013035797 _1http://viaf.org/viaf/43398668/ _997848
700	1		_aHenkel, J. _q(Jörg) _0http://id.loc.gov/authorities/names/no2008015918 _1http://viaf.org/viaf/24926759/
776	0	8	_iEdición impresa: _z9783319774787
776	0	8	_iEdición impresa: _z9783319774800
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-77479-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _eu _zSI