Multi-Grain Reconfiguration for Advanced Adaptivity in Cyber-Physical Systems

Fanni, Tiziana and Rodríguez Medina, Alfonso and Sau, Carlo and Suriano, Leonardo and Palumbo, F. and Raffo, L. and Torre Arnanz, Eduardo de la (2018). Multi-Grain Reconfiguration for Advanced Adaptivity in Cyber-Physical Systems. In: "2018 International Conference on Reconfigurable Computing and FPGAs (ReConFig18)", December 3-5, 2018, Cancun, Mexico. ISBN 978-1-7281-1968-7. pp. 1-8.

Description

Title: Multi-Grain Reconfiguration for Advanced Adaptivity in Cyber-Physical Systems
Author/s:
  • Fanni, Tiziana
  • Rodríguez Medina, Alfonso
  • Sau, Carlo
  • Suriano, Leonardo
  • Palumbo, F.
  • Raffo, L.
  • Torre Arnanz, Eduardo de la
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2018 International Conference on Reconfigurable Computing and FPGAs (ReConFig18)
Event Dates: December 3-5, 2018
Event Location: Cancun, Mexico
Title of Book: 2018 International Conference on Reconfigurable Computing and FPGAs (ReConFig18)
Date: 2018
ISBN: 978-1-7281-1968-7
Subjects:
Freetext Keywords: Cyber-Physical Systems; Hardware Reconfiguration; Adaptive Systems
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The advent of Cyber-Physical Systems (CPS) is putting designers to the test: during operation, such a kind of systems has to meet multiple and variable requirements coming from the environment, the user or the system itself. Runtime adaptivity allows addressing mutable requirements over time by modifying system behavior, and it can be implemented in hardware leveraging on reconfigurable devices operating at different granularities: mainly coarse- and fine-grain. The former is faster but less flexible (minor modifications are applied) than the latter. For modern CPS an advanced adaptivity support providing both the advantages of the two main hardware reconfiguration approaches could be extremely useful. In this work, a novel approach for multi-grain reconfiguration is presented in order to deliver advanced adaptive hardware accelerators to CPS.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020732105CERBEROUnspecifiedCross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments
Universidad Politécnica de MadridRR01/2015UnspecifiedUnspecifiedUnspecified

More information

Item ID: 55150
DC Identifier: http://oa.upm.es/55150/
OAI Identifier: oai:oa.upm.es:55150
Deposited by: Memoria Investigacion
Deposited on: 03 Jun 2019 13:49
Last Modified: 03 Jun 2019 13:49
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