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In-situ , In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy

机译:基于压控磁各向异性的原位,内存中状态向量逻辑运算

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Recently, the exponential increase in compute requirements demanded by emerging applications like artificial intelligence, Internet of things, etc. have rendered the state-of-art von-Neumann machines inefficient in terms of energy and throughput owing to the well-known von-Neumann bottleneck. A promising approach to mitigate the bottleneck is to do computations as close to the memory units as possible. One extreme possibility is to do in-situ Boolean logic computations by using stateful devices. Stateful devices are those that can act both as a compute engine and storage device, simultaneously. We propose such stateful, vector, in-memory operations using voltage controlled magnetic anisotropy (VCMA) effect in magnetic tunnel junctions (MTJ). Our proposal is based on the well known manufacturable 1-transistor - 1-MTJ bit-cell and does not require any modifications in the bit-cell circuit or the magnetic device. Instead, we leverage the very physics of the VCMA effect to enable stateful computations. Specifically, we exploit the voltage asymmetry of the VCMA effect to construct stateful IMP (implication) gate and use the precessional switching dynamics of the VCMA devices to propose a massively parallel NOT operation. Further, we show that other gates like AND, OR, NAND, NOR, NIMP (complement of implication) can be implemented using multi-cycle operations.
机译:最近,新兴应用(如人工智能,物联网等)对计算需求的指数级增长,使得众所周知的von-Neumann成为最先进的von-Neumann机器,在能源和吞吐量方面效率低下瓶颈。缓解瓶颈的一种有前途的方法是进行尽可能接近存储单元的计算。一种极端的可能性是通过使用有状态设备进行原位布尔逻辑计算。有状态设备是可以同时充当计算引擎和存储设备的设备。我们提出在磁隧道结(MTJ)中使用压控磁各向异性(VCMA)效应进行有状态的矢量内存操作。我们的建议基于众所周知的可制造的1晶体管-1-MTJ位单元,不需要对位单元电路或磁性设备进行任何修改。相反,我们充分利用了VCMA效果的物理特性来启用状态计算。具体来说,我们利用VCMA效应的电压不对称性来构造有状态的IMP(隐含)门,并使用VCMA器件的进动切换动力学来提出大规模并行的NOT操作。此外,我们表明可以使用多周期操作来实现其他门,例如AND,OR,NAND,NOR,NIMP(蕴涵的补充)。

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