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arXiv · 2007.06238

Embracing the Unreliability of Memory Devices for Neuromorphic Computing

Marc Bocquet·Tifenn Hirtzlin·Jacques-Olivier Klein·Etienne Nowak·Elisa Vianello·Jean-Michel Portal·Damien Querlioz
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Abstract

The emergence of resistive non-volatile memories opens the way to highly energy-efficient computation near- or in-memory. However, this type of computation is not compatible with conventional ECC, and has to deal with device unreliability. Inspired by the architecture of animal brains, we present a manufactured differential hybrid CMOS/RRAM memory architecture suitable for neural network implementation that functions without formal ECC. We also show that using low-energy but error-prone programming conditions only slightly reduces network accuracy.

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Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz. 2020-07-13. Embracing the Unreliability of Memory Devices for Neuromorphic Computing. https://arxiv.org/abs/2007.06238

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