Picornell-Sanjuan, T.; Flich Cardo, J.; Duato Marín, JF.; Hernández Luz, C. (2020). HP-DCFNoC: High Performance Distributed Dynamic TDM Scheduler Based on DCFNoC Theory. IEEE Access. 8:194836-194849. https://doi.org/10.1109/ACCESS.2020.3033853
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166853
Título:
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HP-DCFNoC: High Performance Distributed Dynamic TDM Scheduler Based on DCFNoC Theory
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Autor:
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Picornell-Sanjuan, Tomás
Flich Cardo, José
Duato Marín, José Francisco
Hernández Luz, Carles
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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 need for increasing the performance of critical real-time embedded systems pushes the industry to adopt complex multi-core processor designs with embedded networks-on-chip. In this paper we present hp-DCFNoC, a ...[+]
[EN] The need for increasing the performance of critical real-time embedded systems pushes the industry to adopt complex multi-core processor designs with embedded networks-on-chip. In this paper we present hp-DCFNoC, a distributed dynamic scheduler design that by relying on the key properties of a delayed confict-free NoC (DCFNoC) is able to achieve peak performance numbers very close to a wormhole-based NoC design without compromising its real-time guarantees. In particular, our results show that the proposed scheduler achieves an overall throughput improvement of 6.9x and 14.4x over a baseline DCFNoC for 16 and 64-node meshes, respectively. When compared against a standard wormhole router 95% of its network throughput is preserved while strict timing predictability as property is kept. This achievement opens the door to new high performance time predictable NoC designs.
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Palabras clave:
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Delays
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Dynamic scheduling
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Time division multiplexing
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Routing
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Throughput
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Real-time systems
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Topology
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Dynamic scheduler
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Multicore
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Real-time
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TDMA
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Time predictable network
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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IEEE Access. (eissn:
2169-3536
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DOI:
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10.1109/ACCESS.2020.3033853
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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/ACCESS.2020.3033853
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/H2020/871467/EU/SELENE: Self-monitored Dependable platform for High-Performance Safety-Critical 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//BES-2016-076885/
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/
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Descripción:
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(c) 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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Agradecimientos:
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This work was supported in part by the Secretara de Estado de Investigacin Desarrollo e Innovacin (MINECO) under Grant BES-2016-076885, in part by the European Regional Development Fund (ERDF) under Grant TIN2015-66972-C05-1-R ...[+]
This work was supported in part by the Secretara de Estado de Investigacin Desarrollo e Innovacin (MINECO) under Grant BES-2016-076885, in part by the European Regional Development Fund (ERDF) under Grant TIN2015-66972-C05-1-R and Grant RTI2018-098156-B-C51, and in part by the EC H2020 European Institute of Innovation and Technology (SELENE) Project under Grant 871467.
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Tipo:
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Artículo
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