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A Novel Parallel Multiply And Accumulate (V-MAC) Architecture Based On Ancient Indian Vedic Mathematics

机译:基于古印度吠陀数学的新颖并行乘法积累(V-MAC)架构

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In this paper new parallel multiply and accumulate ("MAC") is proposed based on algorithm of ancient Indian Vedic Mathematics for high speed applications. In the proposed architecture all bits of operands (multiplier and multiplicand) and accumulator are presented in parallel. The multiplier concurrently adds the partial products bits generated with the accumulator bits. The design implementation is described in both at gate level and high level RTL code (behavioural level) using Verilog Hardware Description Language. The design code is tested using Veriwell Simulator. The code is synthesized in Synopsys FPGA Express using: Xilinx, Family: Spartan Svq300, Speed Grade: -4. The present paper relates to improvement in speed/area over MAC architectures implemented in digital signal processors. In FPGA implementation it has been found that the proposed parallel Vedic multiply and accumulate (V-MAC) is faster than multiply and accumulate based on array and Booth multiplier.
机译:本文基于高速应用的古印度Vedic数学算法,提出了新的并行乘法和累积(“MAC”)。在所提出的体系结构中,所有位操作数(乘法器和乘法物)和累加器都是并行呈现的。乘法器同时添加用累加器位生成的部分产品比特。使用Verilog硬件描述语言,在门级和高级RTL代码(行为级别)中描述了设计实现。使用Veriwell Simulator测试设计代码。代码在Synopsys FPGA Express中合成:Xilinx,Family:Spartan SVQ300,速度等级:-4。本文涉及在数字信号处理器中实现的MAC架构上的速度/区域的改进。在FPGA实现中,已经发现,基于阵列和展位倍增器,所提出的并行Vedic乘法和累积(V-MAC)速度更快。

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