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

机译:使用Simulink®的FPGA浮点运算单元的设计

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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:许多数值计算算法都依赖于执行带有实数的算术运算的能力。在数字电子产品中,最接近Real的近似值是浮点精度格式。该论文的新颖之处在于,该设计完全按照两个Simulink®框图开发,根据IEEE 754标准对单精度浮点数进行求和,减法和乘法。从这些模型中,借助Simulink HDL Coder生成了VHDL代码。数据流模型通过Simulink®中的仿真进行了验证。为了对设计的浮点算术单元进行实验验证,它们被嵌入到FPGA评估平台中。算术运算以最小延迟或在相应时钟的单个周期内执行。与其他开源解决方案相比,所需的芯片面积更小。

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