000 03789nam a22005655i 4500
001 978-3-319-77479-4
003 DE-He213
005 20220801220553.0
007 cr nn 008mamaa
008 180426s2018 sz | s |||| 0|eng d
020 _a9783319774794
_9978-3-319-77479-4
024 7 _a10.1007/978-3-319-77479-4
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aPagani, Santiago.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951072
245 1 0 _aAdvanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
_h[electronic resource] /
_cby Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aL, 250 p. 116 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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).
650 0 _aElectronic circuits.
_919581
650 0 _aMicroprocessors.
_951073
650 0 _aComputer architecture.
_93513
650 0 _aElectronics.
_93425
650 1 4 _aElectronic Circuits and Systems.
_951074
650 2 4 _aProcessor Architectures.
_951075
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_932249
700 1 _aChen, Jian-Jia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951076
700 1 _aShafique, Muhammad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951077
700 1 _aHenkel, Jörg.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951078
710 2 _aSpringerLink (Online service)
_951079
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319774787
776 0 8 _iPrinted edition:
_z9783319774800
776 0 8 _iPrinted edition:
_z9783030084653
856 4 0 _uhttps://doi.org/10.1007/978-3-319-77479-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78705
_d78705