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Design and Synthesis of Single Precision Floating Point Division based on Newton-Raphson Algorithm on FPGA

机译:基于Newton-Raphson算法的FPGA单精度浮点除法的设计与综合

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This paper describes a single precision floating point division based on Newton-Raphson computational division algorithm. The Newton-Raphson computational algorithm is implemented using 32-bit floating point multi-plier and subtractor. The salient feature of this proposed design is that the module for computing mantissa in 32-floating point multiplier is designed using a 24-bit Vedic multiplication (Urdhva-triyakbhyam-sutra) technique. 32-bit floating point multiplier, designed using Vedic multiplication technique, yields a higher computational speed, hence, is efficiently used in floating point divider. Another important feature is the efficient use of device utilization parame-ters and reduced power consumption. An advantage of the Newton-Raphson algorithm is the higher versatility and precision. For representing 32-bit floating point numbers, IEEE 754 standard format is used. ISim simulator is used for simulation. The proposed floating point divider is designed using Verilog Hardware Description Language (HDL) and is verified on Xilinx Spartan 6 SP605 Evaluation Platform FPGA.
机译:本文介绍了一种基于牛顿-拉夫森计算除法的单精度浮点除法。 Newton-Raphson计算算法是使用32位浮点乘法器和减法器实现的。该拟议设计的显着特征是,使用24位吠陀乘法(Urdhva-triyakbhyam-sutra)技术设计了用于计算32浮点乘法器中的尾数的模块。使用Vedic乘法技术设计的32位浮点乘法器产生较高的计算速度,因此可在浮点除法器中有效使用。另一个重要功能是有效利用设备利用率参数并降低功耗。 Newton-Raphson算法的一个优势是更高的通用性和精度。为了表示32位浮点数,使用了IEEE 754标准格式。 ISim仿真器用于仿真。拟议的浮点除法器是使用Verilog硬件描述语言(HDL)设计的,并已在Xilinx Spartan 6 SP605评估平台FPGA上进行了验证。

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