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Advanced techniques for power, energy, and thermal management for clustered manycores

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Pagani, Santiago Chen, Jian-Jia Springer International Publishing (Cham, Switzerland , 2018) (eng) English 9783319774794 Unknown 1st ed. MULTIPROCESSORS; Unknown 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).

Physical dimension
1 online resource (l, 250 p.) Unknown ill. (in color.)

Summary / review / table of contents

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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Access no. Call number Location Status
01130/20 004.35 Pag A Online Available