Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Investigating the Impact of Radiation-Induced Soft Errors on the Reliability of Approximate Computing Systems

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Test and dEpendability of microelectronic integrated SysTems (TEST); Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM); Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); Department of Physics Jyväskylä Univ (JYU); University of Jyväskylä (JYU); Radiations et composants (RADIAC); Institut d’Electronique et des Systèmes (IES); Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); Cypress Semiconductor San Jose; STFC Rutherford Appleton Laboratory (RAL); Science and Technology Facilities Council (STFC); Politecnico di Torino = Polytechnic of Turin (Polito); École Centrale de Lyon (ECL); Université de Lyon; INL - Conception de Systèmes Hétérogènes (INL - CSH); Institut des Nanotechnologies de Lyon (INL); Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
      IEEE
    • الموضوع:
      2020
    • الموضوع:
      Frascati; Italy
    • نبذة مختصرة :
      International audience ; Approximate Computing (AxC) is a well-known paradigm able to reduce the computational and power overheads of a multitude of applications, at the cost of a decreased accuracy. Convolutional Neural Networks (CNNs) have proven to be particularly suited for AxC because of their inherent resilience to errors. However, the implementation of AxC techniques may affect the intrinsic resilience of the application to errors induced by Single Events in a harsh environment. This work introduces an experimental study of the impact of neutron irradiation on approximate computing techniques applied on the data representation of a CNN.
    • Relation:
      lirmm-03025736; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03025736; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03025736/document; https://hal-lirmm.ccsd.cnrs.fr/lirmm-03025736/file/2020_DFTS____HAL_Version__Investigating_the_Impact_of_Radiation_Induced_Soft_Errors_on_the_Reliability_of_Approximate_Computing_Systems.pdf
    • الرقم المعرف:
      10.1109/DFT50435.2020.9250865
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.668D64FB