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000838874 019__ $$a1033660852$$a1033900957$$a1034547160$$a1034610321$$a1038466056
000838874 020__ $$a9783319774794$$q(electronic book)
000838874 020__ $$a3319774794$$q(electronic book)
000838874 020__ $$z9783319774787
000838874 020__ $$z3319774786
000838874 0247_ $$a10.1007/978-3-319-77479-4$$2doi
000838874 035__ $$aSP(OCoLC)on1033673300
000838874 035__ $$aSP(OCoLC)1033673300$$z(OCoLC)1033660852$$z(OCoLC)1033900957$$z(OCoLC)1034547160$$z(OCoLC)1034610321$$z(OCoLC)1038466056
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000838874 049__ $$aISEA
000838874 050_4 $$aQA76.5
000838874 08204 $$a004/.35$$22
000838874 1001_ $$aPagani, Santiago,$$eauthor.
000838874 24510 $$aAdvanced techniques for power, energy, and thermal management for clustered manycores /$$cSantiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel.
000838874 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018.
000838874 300__ $$a1 online resource.
000838874 336__ $$atext$$btxt$$2rdacontent
000838874 337__ $$acomputer$$bc$$2rdamedia
000838874 338__ $$aonline resource$$bcr$$2rdacarrier
000838874 347__ $$atext file$$bPDF$$2rda
000838874 504__ $$aIncludes bibliographical references and index.
000838874 5050_ $$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.
000838874 506__ $$aAccess limited to authorized users.
000838874 520__ $$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).
000838874 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 3, 2018).
000838874 650_0 $$aMultiprocessors.
000838874 7001_ $$aChen, Jian-Jia,$$eauthor.
000838874 7001_ $$aShafique, Muhammad,$$eauthor.
000838874 7001_ $$aHenkel, J.$$q(Jörg),$$eauthor.
000838874 77608 $$iPrint version: $$z9783319774787
000838874 852__ $$bebk
000838874 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-77479-4$$zOnline Access$$91397441.1
000838874 909CO $$ooai:library.usi.edu:838874$$pGLOBAL_SET
000838874 980__ $$aEBOOK
000838874 980__ $$aBIB
000838874 982__ $$aEbook
000838874 983__ $$aOnline
000838874 994__ $$a92$$bISE