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" Advanced techniques for power, energy, and thermal management for clustered manycores / "
Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel.
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BL
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| Record Number
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865422
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| Main Entry
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Pagani, Santiago
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| Title & Author
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Advanced techniques for power, energy, and thermal management for clustered manycores /\ Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel.
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| Publication Statement
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Cham, Switzerland :: Springer,, 2018.
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| Page. NO
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1 online resource (l, 250 pages) :: illustrations
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| ISBN
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3319774794
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: 9783319774794
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3319774786
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9783319774787
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Introduction -- 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.
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| Abstract
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This 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).
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| Subject
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Multiprocessors.
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COMPUTERS-- Computer Literacy.
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COMPUTERS-- Computer Science.
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COMPUTERS-- Data Processing.
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COMPUTERS-- Hardware-- General.
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COMPUTERS-- Information Technology.
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COMPUTERS-- Machine Theory.
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COMPUTERS-- Reference.
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Multiprocessors.
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| Dewey Classification
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004/.35
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| LC Classification
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QA76.5
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| Added Entry
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Chen, Jian-Jia
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Henkel, J., (Jörg)
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Shafique, Muhammad
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