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

机译:用Simulink设计FPGA浮点算术单元的设计吗?

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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.
机译:大部分数值计算算法取决于使用实数执行算术运算的能力。在数字电子设备中,真实的最常见的近似是浮动精密格式。本文的新颖性是设计完全开发为两个Simulink?根据IEEE 754标准,单个精度浮点号的求和,减法和乘法的框图。来自这些模型,在Simulink HDL编码器的帮助下生成VHDL代码。 DataFlow模型通过Simulink中的仿真验证?对于所设计的浮点算术单元的实验验证,它们嵌入在FPGA评估平台中。算术操作以最小延迟或相应时钟的单个周期内执行。与其他开源解决方案相比,所需的芯片区域较小。

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