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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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. |
format | Online Article Text |
id | pubmed-7343418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wangbo explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs AT imtiazaneek explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs AT falkjoachim explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs AT glaßmichael explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs AT teichjurgen explorationofpowerdomainpartitioningwithconcurrenttaskmappingandschedulingforapplicationspecificmulticoresocs |