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Analog Self-Timed Programming Circuits for Aging Memristors

机译:用于老化函数的模拟自定时编程电路

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Reliable programming crossbar memristors to the required resistive states is the challenge that hinders VLSI deployment of the memristive neural network circuits, as current memristive devices face the variability issues of resistive switching. There is also a need for on-chip control circuitry that detects malfunctioning memristive nodes in the crossbar due to the memristor aging. Program and Verify (P&V) schemes can be used for both controlling resistive switching as well as evaluating the functionality of memristors. In this brief, we propose a novel analog circuit design for the P&V approach of row-by-row programming bipolar memristors in a 1T1M crossbar configuration. The proposed control circuit (CC) is self-timed and performs both read and program operations, decreasing the overall programming complexity. CC design is verified with Spice simulations using low power 22nm high-k CMOS models and Modified S memristor model for large scale simulations. Parasitic of wire lines under thermal variation and CMOS variability were included for programming 1T1M crossbar partitions of the sizes 16 x 16, 32 x 32, 64 x 64, 128 x 128.
机译:作为所需电阻状态的可靠编程横杆存储器是阻碍Memristive神经网络电路的VLSI部署的挑战,因为当前的忆阻器件面临电阻切换的可变性问题。还需要片上控制电路,其由于忆阻器老化而检测横杆中的故障膜节点。程序和验证(P&V)方案可用于控制电阻切换以及评估存储器的功能。在此简介中,我们提出了一种新颖的模拟电路设计,用于在1T1M横杆配置中的逐行编程双极映射的P&V方法。所提出的控制电路(CC)是自定时的,并执行读取和程序操作,降低整体编程复杂度。 CC设计通过使用低功耗22nm高K CMOS模型和修改的S Memristor模型来验证Spice Simulations,用于大规模模拟。包括在热变化和CMOS可变性下的线线寄生线用于编程1T1M横杆分区16×16,32 x 32,64 x 64,128 x 128。

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