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Ultra-High Density Content Addressable Memory Based on Current Induced Domain Wall Motion in Magnetic Track

机译:基于电流感应磁畴壁运动的超高密度内容可寻址存储器

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摘要

A new path to frame low power, high-density and fast integrated circuits has been rolled out by the observation of current-induced domain wall (DW) motion in magnetic track. As an advanced extension of this mechanism, high performance racetrack memory can be built up combining with magnetic tunnel junction (MTJ) read and write heads. The rapid progress of CoFeB/MgO perpendicular magnetic anisotropy (PMA) shows that the PMA MTJ can be scaled down to 20 nm while keeping fast data access. These recent discoveries allow us to design an ultra-high density content addressable memory (CAM), one of the most important applications of MRAM. The mainstream CAMs suffer from high power and large area as its conventional structure is composed of numerous large-capacity SRAM blocks in order to provide fast data access. MRAM based non-volatile CAMs have been proposed to relive the power consumption, however the density issue cannot be surmounted due to the large switching currents. In this paper, we present a design of NOR-type CAM based on DW motion in PMA magnetic tracks. The CMOS switching and sensing circuits are globally shared to optimize the cell area down to 6 F$^{2}$/bit; the complementary dual track allows the local sensing and faster data search speed while keeping low power. By using an accuracy spice model of PMA racetrack memory and CMOS 65 nm design-kit, mixed simulations have been performed to demonstrate its functionality and evaluate its high performance.
机译:通过观察磁迹中的电流感应畴壁(DW)运动,已经推出了构筑低功耗,高密度和快速集成电路的新途径。作为该机制的高级扩展,可以结合磁隧道结(MTJ)读写头来构建高性能的赛道存储器。 CoFeB / MgO垂直磁各向异性(PMA)的快速发展表明,PMA MTJ可以缩小到20 nm,同时保持快速的数据访问。这些最新发现使我们能够设计超高密度内容可寻址存储器(CAM),这是MRAM的最重要应用之一。主流CAM具有高功率和大面积的缺点,因为其常规结构由许多大容量SRAM块组成,以便提供快速的数据访问。已经提出了基于MRAM的非易失性CAM来降低功耗,但是由于开关电流大,因此无法克服密度问题。在本文中,我们提出了一种基于PMA磁道中DW运动的NOR型CAM的设计。 CMOS开关和感测电路在全球范围内共享,以优化低至6 F $ ^ {2} $ /位的单元面积;互补的双轨可在保持低功耗的同时实现本地感应和更快的数据搜索速度。通过使用PMA跑道存储器和CMOS 65 nm设计套件的精确香料模型,已经进行了混合仿真,以演示其功能并评估其高性能。

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