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Analog Memristive CAMs for Area- and Energy-Efficient Reconfigurable Computing

机译:用于区域和节能可重新配置计算的模拟存储凸轮

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Memory-based reconfigurable computing rose to outperform conventional FPGAs in logic function density, as well as being less impacted by the programmable interconnection. However, the major drawback is that the area and power overheads are significant, and this gets worse in high-density, high-performance Memory-based Computing (MBC) devices. In this brief, we investigate the usage of analog memristive CAMs to improve the area density of MBCs, thus enabling denser memories and smaller power consumption. Simulation results indicate significant area and energy savings, up to $2.2imes $ and $2.6imes $ , respectively, compared to the non-volatile counterparts, at the cost of increasing latency by up to 20%.
机译:基于内存的可重新配置计算升至逻辑函数密度的常规FPGA越差,并且由可编程互连的影响较小。然而,主要缺点是该区域和电源开销是显着的,这在高密度,高性能的基于存储器的计算(MBC)设备中变得更糟。在此简介中,我们调查模拟丢失凸轮的使用来改善MBC的面积密度,从而实现更密集的存储器和更小的功耗。与非易失性同行相比,仿真结果表明,与非易失性同行相比,延迟增加到20%的成本,分别表示显着的区域和节能,高达2.2倍和2.6倍。

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