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

机译:基于古代印度吠陀数学的新型并行乘加累加(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:在本文中,基于古代印度吠陀数学算法,提出了一种新的并行乘法与累加(MAC)算法,用于高速应用。在提出的体系结构中,并行显示操作数(乘数和被乘数)和累加器的所有位。乘法器同时将累加器位生成的部分乘积位相加。使用Verilog硬件描述语言在门级别和高级RTL代码(行为级别)中描述了设计实现。使用Veriwell Simulator对设计代码进行了测试。该代码在Synopsys FPGA Express中使用:Xilinx,系列:Spartan Svq300,速度等级:-4合成。本发明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,所提出的并行吠陀乘法和累加(V-MAC)比基于阵列和Booth乘法器的乘法和累加要快。

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