Special session: How approximate computing impacts verification, test and reliability

Abstract : Two AxC techniques have been successfully applied to hardware components. The first one is the functional approximation [1]that modifies the circuit structure replacing the original function F with the function G. G implementation leads to area/energy reduction at the cost of reduced accuracy, meaning that some errors can be observed at the outputs of G. The observed errors are a variation between the output values of F (precise) and G (approximate). The variation is the accuracy loss measured by means of quality metric(s) [1]. The second AxC technique is the over-scaling based approximation. Basically, the HW component is forced to work outside its specified operating conditions [1]. The classical example is the reduction of the supply voltage under the minimum value.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02421106
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Submitted on : Friday, December 20, 2019 - 11:47:41 AM
Last modification on : Saturday, December 21, 2019 - 1:39:20 AM

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Lukas Sekanina, Zdeněk Vašíček, Alberto Bosio, Marcello Traiola, Paolo Rech, et al.. Special session: How approximate computing impacts verification, test and reliability. 36th VLSI Test Symposium (VTS), Apr 2018, San Francisco, CA, United States. ⟨10.1109/VTS.2018.8368628⟩. ⟨lirmm-02421106⟩

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