Program

LP-EMS 2017 program

 

  • 11:00 – 11:20 Keynote : low-power IoT platforms optimized for edge computing,
    • Eric Flamand, Greenwaves Technologies, France
  • 11:20 – 11:40 Improving Error Resilience Analysis Methodology of Iterative Workloads for Approximate Computing,
    • G.A. Gillani and A.B.J. Kokkeler, University of Twente, Netherlands
  • 11:40 – 12:00 Instruction level energy model for the Adapteva Epiphany multi-core processor,
    • Gabriel Ortiz, Lars Svensson, Erik Alveflo and Per Larsson-Edefors, University of Technology, Sweden
  • 12:00 – 12h20 On Learning the Energy Model of an MPSoC for Convex Optimization,
    • Erwan Nogues, Daniel Menard, Maxime Pelcat and Alexandre Mercat, UEB/INSA Rennes/IETR, France
  • 12:20 – 12:40 DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems,
    • Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher, EPFL, Switzerland