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Design & implementation of area efficient low power high speed MAC unit using FPGA

机译:使用FPGA的区域高效低功耗高速MAC单元的设计与实现

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This paper illustrates the implementation of Multiply-Accumulate unit (MAC) to improve performance using the Ancient Indian Vedic Mathematics. Real-time signal processing needs high speed and high yield Multiplier-Accumulator (MAC) unit that consumes less power, which is always a key to achieve a high performance digital signal processing system. Speed of the multiplier is essential to MAC unit. Vedic Mathematics is the ancient mathematics. There are sixteenth unique sutras in the Vedic mathematics. The Sutras saves effort and time required in solving the problems as compared to the formal methods. The Sutra “Urdhav Triyagbhyam” (Vertical and Crosswise) is used inside the MAC unit as a multiplier. The coding is done in VHDL, synthesis is done in Xilinx ISE series and the FPGA synthesis is done using Xilinx Spartan library. The results show that design of MAC unit using Vedic multiplication is much more efficient in terms of delay and speed compared to conventional multiplication.
机译:本文说明了使用古代印度吠陀数学提高乘积单元(MAC)的性能。实时信号处理需要高速,高产量的功耗较小的乘积累加器(MAC)单元,这始终是实现高性能数字信号处理系统的关键。乘法器的速度对于MAC单元至关重要。吠陀数学是古代的数学。吠陀数学中有十六种独特的佛经。与正式方法相比,Sutras节省了解决问题所需的精力和时间。 MAC单元内部使用Sutra“ Urdhav Triyagbhyam”(垂直和横向)作为乘法器。编码在VHDL中完成,综合在Xilinx ISE系列中完成,FPGA综合使用Xilinx Spartan库完成。结果表明,与传统乘法相比,使用Vedic乘法设计MAC单元在延迟和速度方面要高效得多。

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