Picornell-Sanjuan, T.; Flich Cardo, J.; Hernández Luz, C.; Duato Marín, JF. (2021). Enforcing Predictability of Many-cores with DCFNoC. IEEE Transactions on Computers. 70(2):270-283. https://doi.org/10.1109/TC.2020.2987797
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/171216
Título:
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Enforcing Predictability of Many-cores with DCFNoC
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Autor:
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Picornell-Sanjuan, Tomás
Flich Cardo, José
Hernández Luz, Carles
Duato Marín, José Francisco
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
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Fecha difusión:
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Resumen:
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[EN] The ever need for higher performance forces industry to include technology based on multi-processors system on chip (MPSoCs) in their safety-critical embedded systems. MPSoCs include a network-on-chip (NoC) to ...[+]
[EN] The ever need for higher performance forces industry to include technology based on multi-processors system on chip (MPSoCs) in their safety-critical embedded systems. MPSoCs include a network-on-chip (NoC) to interconnect the cores between them and with memory and the rest of shared resources. Unfortunately, the inclusion of NoCs compromises guaranteeing time predictability as network-level conflicts may occur. To overcome this problem, in this paper we propose DCFNoC, a new time-predictable NoC design paradigm where conflicts within the network are eliminated by design. This new paradigm builds on top of the Channel Dependency Graph (CDG) in order to deterministically avoid network conflicts. The network guarantees predictability to applications and is able to naturally inject messages using a TDM period equal to the optimal theoretical bound without the need of using a computationally demanding offline process. DCFNoC is integrated in a tile-based many-core system and adapted to its memory hierarchy. Our results show that DCFNoC guarantees time predictability avoiding network interference among multiple running applications. DCFNoC always guarantees performance and also improves wormhole performance in a 4 × 4 setting by a factor of 3.7× when interference traffic is injected. For a 8 × 8 network differences are even larger. In addition, DCFNoC obtains a total area saving of 10.79% over a standard wormhole implementation.
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Palabras clave:
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Real-time systems
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Safety-critical systems
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MPSoCs
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Time division multiplexing (TDM)
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Time predictable network
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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IEEE Transactions on Computers. (issn:
0018-9340
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DOI:
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10.1109/TC.2020.2987797
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Editorial:
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Institute of Electrical and Electronics Engineers
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Versión del editor:
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https://doi.org/10.1109/TC.2020.2987797
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/H2020/801137/EU/REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems/
info:eu-repo/grantAgreement/MINECO//TIN2015-66972-C5-1-R/ES/TECNICAS PARA LA MEJORA DE LAS PRESTACIONES, COSTE Y CONSUMO DE ENERGIA DE LOS SERVIDORES/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098156-B-C51/ES/TECNOLOGIAS INNOVADORAS DE PROCESADORES, ACELERADORES Y REDES, PARA CENTROS DE DATOS Y COMPUTACION DE ALTAS PRESTACIONES/
info:eu-repo/grantAgreement/AEI//BES-2016-076885/
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Descripción:
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© 2021 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Agradecimientos:
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This work has been supported by MINECO under Grant BES-2016-076885, by MINECO and funds from the European ERDF under Grant TIN2015-66972-C05-1-R and Grant RTI2018-098156-B-C51, and by the EC H2020 RECIPE project under Grant ...[+]
This work has been supported by MINECO under Grant BES-2016-076885, by MINECO and funds from the European ERDF under Grant TIN2015-66972-C05-1-R and Grant RTI2018-098156-B-C51, and by the EC H2020 RECIPE project under Grant 801137.
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Tipo:
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Artículo
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