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Design of a novel energy efficient topology for maximum magnitude generator

机译:用于最大量级发电机的新型节能拓扑的设计

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摘要

A novel combinational digital device for finding maximum magnitude among the ‘’ input numbers is proposed. This maximum magnitude generator (MaxMG) generates maximum magnitude as an output by utilising the bit by bit approach from multiple input (multi-bit) values simultaneously. MaxMG generates output from most significant bit (MSB) to least significant bit (LSB) in parallel, which utilises a minimum number of gate counts among the multi-bit of multiple input values. The minimum magnitude generator is also derived by applying the dual function to the MaxMG. The proposed design is implemented using Synopsys 90 nm generic library and RTL is written using Verilog HDL. The performance of the proposed design is compared with a rank based th max selection algorithm, a parallel tree based maximum generator utilised comparator-multiplexer combination, an array-based maximum finder (AB) and improved quad tree (IQT). The bit by bit parallel processing at the inputs – from MSB to LSB, and the simple architecture utilising a minimum number of gates, makes the proposed design more energy efficient when compared with the th max algorithm, the tree based maximum finder, the AB based maximum finder, and the IQT architecture.
机译:提出了一种新颖的组合数字设备,用于在“”输入数字中找到最大幅度。该最大幅度生成器(MaxMG)通过同时从多个输入(多位)值中采用逐位方法来生成最大幅度作为输出。 MaxMG并行生成从最高有效位(MSB)到最低有效位(LSB)的输出,这利用了多个输入值的多位中最少的门计数。通过将对偶函数应用于MaxMG,还可以得出最小幅度生成器。拟议的设计是使用Synopsys 90 nm通用库实现的,而RTL是使用Verilog HDL编写的。将该设计的性能与基于秩的最大选择算法,基于并行树的最大生成器利用比较器-多路复用器组合,基于数组的最大查找器(AB)和改进的四叉树(IQT)进行了比较。与最大算法,基于树的最大查找器,基于AB的算法相比,从MSB到LSB的输入端逐位并行处理,以及采用最少数量门的简单架构,使建议的设计具有更高的能源效率。最大的发现者和IQT架构。

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