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Pipeline Architecture for N==K*2L Bit Modular ALU: Case Study between Current Generation Computing and Vedic Computing

机译:管道架构为n == k * 2L位模块化ALU:当前生成计算与Vedic计算的案例研究

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This paper describes a design architecture that performs mathematical operations using Vedic sutra for upward compatibility in pipeline manner. In spite of increasing the area, performance and reducing power, Vedic architecture have observed to be inherently compatible with higher efficiency for pipeline architecture. However Vedic architecture leads to additional flexibility starting from 2-bit base modules to 8-bit modules (L=1,2,3) and pipeline can be compactable to any base modules for any given length. Many researchers proposed arithmetic algorithms at simulation level using vedic sutra. These algorithm have been evaluated with better performance, area and speed. The literature has been widely found to be towards individual arithmetical operators like multiplier, square and cube and so on. A consolidated computing architecture, especially N-bit ALU is yet be realized Generalized N-bit ALU, can always be realized using pipeline modular architecture. The proposition is on realizing N-bit using ‘2L, as base modules using ‘K’ modules in pipelining. The authors have extensively verified modular architecture for 4-Bit modules for 16 bit and 32 bit pipelined operations. Individually multiplication using Urdhva Tiryakbhyam, division using Dhwajanka sutra, square using Dwandwayoga sutra. MAC unit which involves multiplication algorithms used in FFT and IFFT using sutras of Vedic mathematics and it is possible to achieve reduce version interms of speed and delay, compared to different generations of ALU The authors are now exploring N-bit ALU architecture FPGA implementation using Vedic sutras with flexible modular pipeline architecture and mainly targeted for Digital Signal processing applications.
机译:本文介绍了一种使用Vedic Sutra执行数学运算的设计架构,用于管道方式向上兼容性。尽管增加了该地区,性能和降低功率,但是,Vedic架构已经观察到本身与管道架构的更高效率兼容。然而,Vedic架构导致从2位基本模块到8位模块的额外灵活性(L = 1,2,3),管道可以对任何给定长度的任何基本模块都可以。许多研究人员使用Vedic Sutra提出了在仿真级别的算术算法。这些算法已经通过更好的性能,面积和速度进行了评估。文献已被广泛发现是乘坐乘数,方形和立方体等单个算术运营商等。综合计算架构,尤其是N位ALU尚未实现广义的N位ALU,可以始终使用管道模块化架构实现。命题是使用'2的n比特 l ,在流水线中使用“k”模块作为基础模块。作者对16位和32位流水线操作的4位模块具有广泛验证的模块化架构。使用Dhwajanka Sutra,Square使用Dwandwayoga Sutra进行单独乘法。涉及使用VEDIC数学的SUTRAS中使用的FFT和IFFT中使用的乘法算法的MAC单元,并且可以实现速度和延迟的速度和延迟的倍增型,与Alu的不同几代人现在正在使用vedic探索n位Alu架构FPGA实现Sutras具有灵活的模块化管道架构,主要针对数字信号处理应用。

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