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Single-Readout High-Density Memristor Crossbar.

M A Zidan1, H Omran2, R Naous2

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New adaptive-threshold techniques solve sneak-path issues in memristor crossbars. These methods reduce energy consumption and improve readout accuracy for future computing systems.

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Area of Science:

  • Computer Engineering
  • Materials Science

Background:

  • Memristor-crossbar architecture offers a promising path for advanced computing.
  • The inherent simplicity of gateless-crossbar structures leads to parasitic sneak-path currents.
  • Sneak-path currents can significantly increase energy consumption and compromise data readout.

Purpose of the Study:

  • To address the challenge of sneak-path currents in high-density memristor-crossbar architectures.
  • To develop novel readout techniques that mitigate parasitic current effects.
  • To enhance the energy efficiency and reliability of memristive computing systems.

Main Methods:

  • Introduction of adaptive-threshold readout techniques.
  • Leveraging the locality and hierarchy properties of computer-memory systems.
  • Implementing a single memory access per pixel for array readout.

Main Results:

  • Successfully mitigated the problem of sneak-path currents.
  • Achieved efficient array readout with a single memory access per pixel.
  • Demonstrated an order of magnitude reduction in power consumption compared to existing methods.

Conclusions:

  • The proposed adaptive-threshold readout techniques effectively solve the sneak-path problem in memristor crossbars.
  • These methods offer a significant improvement in energy efficiency for memristive computing.
  • The techniques pave the way for more reliable and power-efficient future computing systems.