Power Estimation on Electronic System Level using Linear Power Models / by Stefan Schuermans, Rainer Leupers.
By: Schuermans, Stefan, autor
Contributor(s): SpringerLink (Online service)
| Leupers, Rainer., autor
Series: (Engineering (Springer-11647)).Publisher: Cham : Imprint: Springer, 2019Description: 1 recurso en línea (XV, 336 páginas) : 144 ilustraciones, 70 ilustraciones a color.ISBN: 9783030018757.Subject: Modelos lineales (Estadística)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA279 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062634 |
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| QA278.8 2011 EB Statistics is Easy! 2nd Edition | QA278.8 2021 EB Statistics is Easy : Case Studies on Real Scientific Datasets | QA279 2019 EB Variant Construction from Theoretical Foundation to Applications | QA279 2019 EB Power Estimation on Electronic System Level using Linear Power Models | QA279 2021 EB Probabilistic Graphical Models Principles and Applications | QA279 2022 EB Industrial Design of Experiments : A Case Study Approach for Design and Process Optimization | QA279 .E974 2016 EB Experimental Design Research : Approaches, Perspectives, Applications |
Introduction -- Background and Related Work -- ESL Power Estimation Methodology -- Implementation of ESL Power Estimation -- Network on Chip Case Study -- ARM Cortex-A9 Case Study -- Conclusions and Outlook.
This book describes a flexible and largely automated methodology for adding the estimation of power consumption to high level simulations at the electronic system level (ESL). This method enables the inclusion of power consumption considerations from the very start of a design. This ability can help designers of electronic systems to create devices with low power consumption. The authors also demonstrate the implementation of the method, using the popular ESL language "SystemC". This implementation enables most existing SystemC ESL simulations for power estimation with very little manual work. Extensive case-studies of a Network on Chip communication architecture and a dual-core application processor "ARM Cortex-A9" showcase the applicability and accuracy of the method to different types of electronic devices. The evaluation compares various trade-offs regarding amount of manual work, types of ESL models, achieved estimation accuracy and impact on the simulation speed. Describes a flexible and largely automated ESL power estimation method; Shows implementation of power estimation methodology in SystemC; Uses two extensive case studies to demonstrate method introduced.
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