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Advanced techniques for power, energ...
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Pagani, Santiago.
Advanced techniques for power, energy, and thermal management for clustered manycores
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Advanced techniques for power, energy, and thermal management for clustered manycores/ by Santiago Pagani ... [et al.].
其他作者:
Pagani, Santiago.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
l, 250 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Multiprocessors. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-77479-4
ISBN:
9783319774794
Advanced techniques for power, energy, and thermal management for clustered manycores
Advanced techniques for power, energy, and thermal management for clustered manycores
[electronic resource] /by Santiago Pagani ... [et al.]. - Cham :Springer International Publishing :2018. - l, 250 p. :ill., digital ;24 cm.
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.
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)
ISBN: 9783319774794
Standard No.: 10.1007/978-3-319-77479-4doiSubjects--Topical Terms:
636734
Multiprocessors.
LC Class. No.: QA76.5 / .P343 2018
Dewey Class. No.: 004.35
Advanced techniques for power, energy, and thermal management for clustered manycores
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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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