Tu, S.; Li, J.; Ren, Y.; Jiang, Q.; Xiong, S. A Novel Programming Circuit for Memristors. Microelectronic Engineering 2023, 112072, doi:10.1016/j.mee.2023.112072.
Tu, S.; Li, J.; Ren, Y.; Jiang, Q.; Xiong, S. A Novel Programming Circuit for Memristors. Microelectronic Engineering 2023, 112072, doi:10.1016/j.mee.2023.112072.
Tu, S.; Li, J.; Ren, Y.; Jiang, Q.; Xiong, S. A Novel Programming Circuit for Memristors. Microelectronic Engineering 2023, 112072, doi:10.1016/j.mee.2023.112072.
Tu, S.; Li, J.; Ren, Y.; Jiang, Q.; Xiong, S. A Novel Programming Circuit for Memristors. Microelectronic Engineering 2023, 112072, doi:10.1016/j.mee.2023.112072.
Abstract
Memristor has attracted a lot of interest due to its high processing speed, low power consumption and high integration ability, which is critical for electronic systems and memory-centric computing. However, the memristor programming circuit and strategy are still inflexible and complex, since the signal generator/collector and stimulate pulse must be carefully matched and designed based on memristor intrinsic characteristics without reconfigurable. Here, a simple and effective circuit only consists a parallel reference-resistor-and-NMOS is designed to program memristor with a more than 99% memristance precision. And the amplitude and width of stimulate pulse are fixed to ±4V and 5ms, respectively. In order to cope with the device variation, such as ±10% tolerance of transition voltage, an optimized programming strategy was proposed and demonstrated great robustness. Additionally, a set of reference resistors and NMOSs have been added to facilitate multi-level memristance operation without requiring any changes to the circuit structure. This program circuit was also employed to program memristor crossbar remains 99% precision. In the end, a memristor-based convolutional neural network which controlled by our optimized programming circuit was used for image recognition, and 89.36% accuracy can be achieved even under 15.8% memristance tolerance. This novel circuit demonstrates a simple and flexible strategy in memristor programming, providing a new way to control memristor crossbar for practical application.
Engineering, Electrical and Electronic Engineering
Copyright:
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