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Autore: | Pagani Santiago |
Titolo: | Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores / / by Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Edizione: | 1st ed. 2018. |
Descrizione fisica: | 1 online resource (295 pages) : illustrations |
Disciplina: | 004.35 |
Soggetto topico: | Electronic circuits |
Microprocessors | |
Electronics | |
Microelectronics | |
Circuits and Systems | |
Processor Architectures | |
Electronics and Microelectronics, Instrumentation | |
Persona (resp. second.): | ChenJian-Jia |
ShafiqueMuhammad | |
HenkelJörg | |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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). |
Titolo autorizzato: | Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores |
ISBN: | 3-319-77479-4 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910299942703321 |
Lo trovi qui: | Univ. Federico II |
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