Design of Floating-Point Arithmetic Unit for FPGA with Simulink®

J. Kralev
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引用次数: 2

Abstract

Much of the numerical computation algorithms are dependent on the capability to perform arithmetic operations with real numbers. In digital electronics, the most common approximation of the Reals is the floating-precision format. The novelty of the paper is that the design is entirely developed as two Simulink® block diagrams for summation, subtraction and multiplication of single precision floating-point numbers, according to the IEEE 754 Standard. From these models a VHDL code is generated with the help of Simulink HDL Coder. Dataflow models are validated by simulation in Simulink®. For the experimental validation of the designed floating-point arithmetic units they are embedded in a FPGA evaluation platform. The arithmetic operations are executed with a minimum delay or within a single cycle of the respective clock. Required chip area is smaller in comparison to other open source solutions.
基于Simulink的FPGA浮点运算单元设计
许多数值计算算法依赖于对实数进行算术运算的能力。在数字电子学中,最常见的实数近似值是浮点精度格式。本文的新颖之处在于,根据IEEE 754标准,该设计完全开发为两个Simulink®方框图,用于单精度浮点数的加法,减法和乘法。在这些模型的基础上,借助Simulink HDL编码器生成了VHDL代码。数据流模型在Simulink®中通过仿真验证。为了对所设计的浮点运算单元进行实验验证,将它们嵌入到FPGA评估平台中。算术运算以最小的延迟或在各自时钟的单个周期内执行。与其他开源解决方案相比,所需的芯片面积更小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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