arXiv
Open Access
2020
Embracing the Unreliability of Memory Devices for Neuromorphic Computing
Marc Bocquet
Tifenn Hirtzlin
Jacques-Olivier Klein
Etienne Nowak
Elisa Vianello
+2 lainnya
Abstrak
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.
Topik & Kata Kunci
Penulis (7)
M
Marc Bocquet
T
Tifenn Hirtzlin
J
Jacques-Olivier Klein
E
Etienne Nowak
E
Elisa Vianello
J
Jean-Michel Portal
D
Damien Querlioz
Akses Cepat
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- Tahun Terbit
- 2020
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- en
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- arXiv
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- Open Access ✓