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VLSI Design
Volume 2012, Article ID 987209, 17 pages
http://dx.doi.org/10.1155/2012/987209
Research Article

Adaptivity Support for MPSoCs Based on Process Migration in Polyhedral Process Networks

1LIACS, Leiden University, 2333 CA Leiden, The Netherlands
2ALaRI, Faculty of Informatics, University of Lugano, 6904 Lugano, Switzerland
3DIEE, Faculty of Engineering, University of Cagliari, 09123 Cagliari, Italy

Received 30 August 2011; Accepted 25 October 2011

Academic Editor: Luigi Raffo

Copyright © 2012 Emanuele Cannella et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [16 citations]

The following is the list of published articles that have cited the current article.

  • Marcelo Ruaro, and Fernando G. Moraes, “Demystifying the cost of task migration in distributed memory many-core systems,” 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–4, . View at Publisher · View at Google Scholar
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  • Paolo Meloni, Giuseppe Tuveri, Luigi Raffo, Emanuele Cannella, Todor Stefanov, Onur Derin, Leandro Fiorin, and Mariagiovanna Sami, “System adaptivity and fault-tolerance in NoC-based MPSoCs: The MADNESS project approach,” Proceedings - 15th Euromicro Conference on Digital System Design, DSD 2012, pp. 517–524, 2012. View at Publisher · View at Google Scholar
  • Onur Derin, Prasanth Kuncheerath Ramankutty, Paolo Meloni, and Emanuele Cannella, “Towards Self-Adaptive KPN Applications on NoC-Based MPSoCs,” Advances in Software Engineering, vol. 2012, pp. 1–16, 2012. View at Publisher · View at Google Scholar
  • Onur Derin, Emanuele Cannella, Giuseppe Tuveri, Paolo Meloni, Todor Stefanov, Leandro Fiorin, Luigi Raffo, and Mariagiovanna Sami, “A System-level Approach to Adaptivity and Fault-tolerance in NoC-based MPSoCs: the MADNESS Project,” Microprocessors and Microsystems, 2013. View at Publisher · View at Google Scholar
  • Alexandra Aguiar, Sergio Johann Filho, Felipe Magalhaes, and Fabiano Hessel, “On the design space exploration through the Hellfire Framework,” Journal of Systems Architecture, 2013. View at Publisher · View at Google Scholar
  • Devendra Rai, Lars Schor, Nikolay Stoimenov, and Lothar Thiele, “Distributed stable states for process networks - Algorithm, analysis, and experiments on Intel SCC,” Proceedings - Design Automation Conference, 2013. View at Publisher · View at Google Scholar
  • Marcelo Ruaro, Everton A. Carara, and Fernando G. Moraes, “Runtime QoS support for MPSoC: A processor centric approach,” Proceedings, SBCCI 2014 - 27th Symposium on Integrated Circuits and Systems Design: Chip in Aracaju, 2014. View at Publisher · View at Google Scholar
  • Emanuele Cannella, Mohamed A. Bamakhrama, and Todor Stefanov, “System-level scheduling of real-time streaming applications using a semi-partitioned approach,” Proceedings -Design, Automation and Test in Europe, DATE, 2014. View at Publisher · View at Google Scholar
  • Suleyman Tosun, Vahid B. Ajabshir, Ozge Mercanoglu, and Ozcan Ozturk, “Fault-Tolerant Topology Generation Method for Application-Specific Network-on-Chips,” Ieee Transactions On Computer-Aided Design Of Integrated Circuits And Systems, vol. 34, no. 9, pp. 1495–1508, 2015. View at Publisher · View at Google Scholar
  • Wei Quan, and Andy D. Pimentel, “A Hybrid Task Mapping Algorithm for Heterogeneous MPSoCs,” ACM Transactions on Embedded Computing Systems, vol. 14, no. 1, pp. 1–25, 2015. View at Publisher · View at Google Scholar
  • Fernando G. Moraes, and Marcelo Ruaro, “Dynamic real-time scheduler for large-scale MPSoCs,” Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, vol. 18-20-, pp. 341–346, 2016. View at Publisher · View at Google Scholar
  • S. Rösch, H. Rauchfuss, S. Wallentowitz, T. Wild, and A. Herkersdorf, “MPSoC application resilience by hardware-assisted communication virtualization,” Microelectronics Reliability, 2016. View at Publisher · View at Google Scholar
  • Wei Quan, and Andy D. Pimentel, “A hierarchical run-time adaptive resource allocation framework for large-scale MPSoC systems,” Design Automation for Embedded Systems, 2016. View at Publisher · View at Google Scholar
  • Paolo Meloni, Claudio Rubattu, Giuseppe Tuveri, and Luigi Raffo, “A Custom dual-processor System for Real-time Neural Signal Processing,” IFAC-PapersOnLine, vol. 49, no. 25, pp. 61–67, 2016. View at Publisher · View at Google Scholar