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SRAM-Based NATURE: A Dynamically Reconfigurable FPGA Based on 10T Low-Power SRAMs

机译:基于SRAM的自然界:基于10T低功耗SRAM的动态可重新配置FPGA

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We presented a hybrid CMOSanotechnology reconfigurable architecture (NATURE), earlier. It was based on CMOS logic and nano RAMs. It used the concept of temporal logic folding and fine-grain (e.g., cycle-level) dynamic reconfiguration to increase logic density by an order of magnitude. This dynamic reconfiguration is done intra-circuit rather than inter-circuit. However, the previous design of NATURE required fine-grained distribution of nano RAMs throughout the field-programmable gate array (FPGA) architecture. Since the fabrication process of nano RAMs is not mature yet, this prevents immediate exploitation of NATURE. In this paper, we present a NATURE architecture that is based on CMOS logic and CMOS SRAMs that are used for on-chip dynamic reconfiguration. We use fast and low-power SRAM blocks that are based on 10T SRAM cells. We have also laid out the various FPGA components in a 65-nm technology to evaluate the FPGA performance. We hide the dynamic reconfiguration delay behind the computation delay through the use of shadow SRAM cells. Experimental results show more than an order of magnitude improvement in logic density and $3.48times$ improvement in the area-delay product relative to a traditional baseline FPGA architecture that does not use the concept of logic folding.
机译:前面我们介绍了混合CMOS /纳米技术可重构体系结构(NATURE)。它基于CMOS逻辑和纳米RAM。它使用了时间逻辑折叠和细粒度(例如,循环级)动态重新配置的概念来将逻辑密度提高一个数量级。这种动态重新配置是在电路内部而不是电路内部完成的。但是,NATURE的先前设计要求在整个现场可编程门阵列(FPGA)架构中纳米颗粒的细粒度分布。由于纳米RAM的制造工艺尚未成熟,因此无法立即利用NATURE。在本文中,我们介绍了一种基于CMOS逻辑和CMOS SRAM的NATURE体系结构,这些体系结构用于片上动态重新配置。我们使用基于10T SRAM单元的快速和低功耗SRAM块。我们还以65纳米技术布置了各种FPGA组件,以评估FPGA性能。通过使用影子SRAM单元,我们将动态重新配置延迟隐藏在计算延迟之后。实验结果表明,相对于不使用逻辑折叠概念的传统基准FPGA架构,逻辑密度提高了多个数量级,面积延迟积提高了3.48倍。

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