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Title: Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator.

Conference ·

Abstract not provided.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1511129
Report Number(s):
SAND2017-12403C; 658730
Resource Relation:
Conference: Proposed for presentation at the 2017 IEEE International Conference on Rebooting Computing (ICRC) held November 8-9, 2017 in Washington, DC.
Country of Publication:
United States
Language:
English

Cited By (3)

Analog high resistance bilayer RRAM device for hardware acceleration of neuromorphic computation journal November 2018
Optimized pulsed write schemes improve linearity and write speed for low-power organic neuromorphic devices journal May 2018
Spiking Neural Networks Hardware Implementations and Challenges: A Survey
  • Bouvier, Maxence; Valentian, Alexandre; Mesquida, Thomas
  • ACM Journal on Emerging Technologies in Computing Systems, Vol. 15, Issue 2 https://doi.org/10.1145/3304103
journal April 2019

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