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Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems最新文献

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Datapath Optimization for Embedded Signal Processing Architectures utilizing Design Space Exploration 利用设计空间探索的嵌入式信号处理架构的数据路径优化
Johannes Knödtel, M. Reichenbach
According to literature, designers spend up to 30% of the design time on optimizing data representations in signal processing architectures [13]. Reference implementations, mostly in high-level software languages, choose floating point representation for mathematical calculations, which are too resource-intensive for FPGA implementations in many cases. The task of conversion to bit-width-optimized fixed point representations is tedious and therefore warrants automation. Usually some analytical or simulation-based approach is used for this, but past works usually overcomplicate their mode of operation and are therefore not commonplace in FPGA design. In this work, it is shown that a simulation-based approach can be both fast, given modern hardware, as well as simple enough to be integrated into a modern design flow. Using a real-world design from a complex power quality measurement algorithm, this is demonstrated and evaluated. Our implementation was able to reach much better results by reducing the resource utilization by approximately 80%, compared to the bit-widths proposed by a field expert while retaining the accuracy needed for the target application.
根据文献,设计人员花费高达30%的设计时间来优化信号处理架构中的数据表示[13]。参考实现,主要是在高级软件语言中,选择浮点表示来进行数学计算,这在许多情况下对于FPGA实现来说过于资源密集。转换为位宽优化的不动点表示的任务是繁琐的,因此需要自动化。通常使用一些分析或基于仿真的方法来实现这一点,但过去的工作通常使其操作模式过于复杂,因此在FPGA设计中并不常见。在这项工作中,它表明,基于仿真的方法既可以快速,给定现代硬件,也可以简单到足以集成到现代设计流程中。使用一个复杂的电能质量测量算法的实际设计,对其进行了演示和评估。与现场专家建议的钻头宽度相比,我们的实现将资源利用率降低了约80%,同时保持了目标应用所需的精度,从而达到了更好的效果。
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引用次数: 0
Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems 约束嵌入式系统的系统工程
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引用次数: 0
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Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems
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