基于Xilinx System Generator的并行一维滤波算法的改进参数化高效FPGA实现

S. Hasan, S. Boussakta, Alexandre Yakovlev
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引用次数: 17

摘要

通过一种改进的参数化高效FPGA实现方法,开发了两种硬件架构,用于并行一维实时信号滤波算法,以提供更高的每瓦特性能和最大频率下最小的逻辑面积。这种改进明显体现在快速的系统级抽象FPGA原型设计和优化的速度、面积和功耗上,针对Virtex-6 xc6vlX130Tl-1lff1156 FPGA板,使用Xilinx System Generator在最高频率(231 MHz)下实现了更低的功耗(820 mW)和更低的器件利用率(27%-44%)。改进的参数化FPGA实现是面向硬件并行编程的系统级抽象,作为门级硬件描述语言(HDL)的替代方案,以满足并行多维滤波算法在最短的开发上市时间内的高性能计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved parameterized efficient FPGA implementations of parallel 1-D filtering algorithms using Xilinx System Generator
Two hardware architectures are developed via an improved parameterized efficient FPGA implementation method for parallel 1-D real-time signal filtering algorithms to provide higher performance per Watt and minimum logic area at maximum frequency. This improvement is evidently manifested rapid system-level abstraction FPGA prototyping and optimized speed, area and power, targeting Virtex-6 xc6vlX130Tl-1lff1156 FPGA board to achieve lower power consumption of (820 mW) and a (27%–44%) less device utilization at a maximum frequency of up to (231 MHz) using Xilinx System Generator . The improved parameterized FPGA implementation is a system-level abstraction of hardware-oriented parallel programming, as an alternative to gate-level Hardware Descriptive Language (HDL), to satisfy the high performance computation of parallel multidimensional filtering algorithms at a minimal development-to-market time.
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