Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores

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 cons...

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1. Verfasser: Pagani, Santiago (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schlagworte:
ISBN:9783319774794
Online-Zugang: Volltext
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040 |a Springer-Nature  |b eng  |c CVTISR  |e AACR2 
041 |a eng 
100 1 |a Pagani, Santiago.  |4 aut 
245 1 0 |a Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores  |h [electronic resource] /  |c by Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel. 
250 |a 1st ed. 2018. 
260 1 |a Cham :  |b Springer International Publishing,  |c 2018. 
300 |a L, 250 p. 116 illus., 1 illus. in color.  |b online resource. 
500 |a Engineering  
505 0 |a 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. 
516 |a text file PDF 
520 |a 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). 
650 0 |a Electronic circuits. 
650 0 |a Microprocessors. 
650 0 |a Electronics. 
650 0 |a Microelectronics. 
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