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Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs

This paper proposes a novel approach to explore the design space of Power Domain (PD) partitioning in the architecture definition phase of heterogeneous SoCs. By formulating an Integer Linear Program (ILP), task mapping and scheduling is determined concurrently while considering power-off dependenci...

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Detalles Bibliográficos
Autores principales: Wang, Bo, Imtiaz, Aneek, Falk, Joachim, Glaß, Michael, Teich, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343418/
http://dx.doi.org/10.1007/978-3-030-52794-5_12
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author Wang, Bo
Imtiaz, Aneek
Falk, Joachim
Glaß, Michael
Teich, Jürgen
author_facet Wang, Bo
Imtiaz, Aneek
Falk, Joachim
Glaß, Michael
Teich, Jürgen
author_sort Wang, Bo
collection PubMed
description This paper proposes a novel approach to explore the design space of Power Domain (PD) partitioning in the architecture definition phase of heterogeneous SoCs. By formulating an Integer Linear Program (ILP), task mapping and scheduling is determined concurrently while considering power-off dependencies among cores in the same PD and the power-gating break-even time. Compared to state-of-the-art approaches aiming at design phases where task mapping and scheduling has been frozen, our proposed approach shifts joint exploration into earlier design phases, creates more power-gating opportunities for PD partitions, and thus identifies better trade-offs in terms of energy consumption and design costs.
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spelling pubmed-73434182020-07-09 Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs Wang, Bo Imtiaz, Aneek Falk, Joachim Glaß, Michael Teich, Jürgen Architecture of Computing Systems – ARCS 2020 Article This paper proposes a novel approach to explore the design space of Power Domain (PD) partitioning in the architecture definition phase of heterogeneous SoCs. By formulating an Integer Linear Program (ILP), task mapping and scheduling is determined concurrently while considering power-off dependencies among cores in the same PD and the power-gating break-even time. Compared to state-of-the-art approaches aiming at design phases where task mapping and scheduling has been frozen, our proposed approach shifts joint exploration into earlier design phases, creates more power-gating opportunities for PD partitions, and thus identifies better trade-offs in terms of energy consumption and design costs. 2020-06-12 /pmc/articles/PMC7343418/ http://dx.doi.org/10.1007/978-3-030-52794-5_12 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wang, Bo
Imtiaz, Aneek
Falk, Joachim
Glaß, Michael
Teich, Jürgen
Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title_full Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title_fullStr Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title_full_unstemmed Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title_short Exploration of Power Domain Partitioning with Concurrent Task Mapping and Scheduling for Application-Specific Multi-core SoCs
title_sort exploration of power domain partitioning with concurrent task mapping and scheduling for application-specific multi-core socs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343418/
http://dx.doi.org/10.1007/978-3-030-52794-5_12
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AT glaßmichael explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs
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