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Panel Session

Adaptive / Evolvable Reconfigurable Computing Systems

Gilles Sassatelli


Dr. Gilles Sassatelli, LIRMM - CNRS / University of Monptellier II, France


Adaptive and evolvable systems have been gaining attention recently in the reconfigurable computing community. Fault-tolerance, self-organization or adaptability are key-concepts in this field, enabling to take advantage of massively parallel processing capabilities in the terascale computing era. To the purpose of building such systems, bioinspiration principles have long been considered as alternative promising means for addressing problems that can hardly be formalized such as perception, self-organization or coordination (neural fields, pulsed networks, biocellular models, etc.). Systems of this kind range from multiprocessor architectures that enable migration techniques to prospective research on machine models that use learn, growth and evolution principles.

The increased processing capabilities enabled by silicon shrinking and reconfigurable hardware allows exploring such systems and assess their viability in the mid-term; this session welcomes contribution on the following topics:

  • Bioinspired models and architectures for reconfigurable computing
  • Evolvable hardware
  • Fault-tolerant computing systems and bioinspiration
  • Self-organizing reconfigurable computing systems
  • Bioinspired computational models on reconfigurable hardware
  • Bioinspired / adaptive multicore architectures.


Dr. Gilles Sassatelli holds a full-time researcher position at LIRMM and is responsible of the flexible parallel and reconfigurable architectures group. He obtained his Ph.D. in Computer Engineering in 2002 and has been working at the Darmstadt University of Technology, Germany as an assistant professor. He has been involved in several different funded national and European research projects and is the founder of the Reconfigurable Communication Centric SoCs European workshop. His research activity is currently focused on adaptive / bio-inspired reconfigurable computing systems ranging from MPSoCs to prospective bio-inspired computing substrates.

Panel Session Programme and Members
  • Dr. Gilles Sassatelli, University of Montpellier 2, France
    Bio-Inspired Systems: Self-Adaptability from Chips to Sensor-Network Architectures
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  • Prof. Juergen Becker, Karlsruhe Institute of Technology - KIT, Germany
    Future Multi-Core System-on-Chip (MCSoC): Adaptive and Reliable Computing in the Nano Era
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  • Dr. Pierre-André Mudry, EPFL, Switzerland
    Dr. Gianluca Tempesti, University of York, UK
    Self-Scaling Stream Processing: a Bio-Inspired Task Scheduling Algorithm for Cellular Computing
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  • Dr. Jean-Philippe Diguet, University of South Britanny, France
    Networked Self-Adaptive Systems: An Opportunity for Configuring in the Large.
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  • Prof. Luigi Carro, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil
    Adaptive Processing Architectures for the Ultimate Scaling of the Cmos World
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