FPGA上I/O外设动态重构对性能的影响

Kazuki Hashimoto, A. Yamawaki
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引用次数: 0

摘要

嵌入式设备为每个设备配备了专门的微控制器。如果一个具有所有外设的超通用微控制器,那么任何一种嵌入式设备都可以由这种微控制器开发。然而,由于规模和价格的原因,这种微控制器无法构建。动态部分可重构微控制器(DPR微控制器)具有针对每种应用切换电路的功能,可以实现可用于任何应用的超通用微控制器。为了DPR单片机的实现和实际应用,有必要开发一种类似硬件库的结构,在这种结构中预先为每个外围器件设计优化的接口电路。此外,外围器件接口电路的动态切换对性能的影响尚未研究,因此有必要对这些影响进行评估。采用动态局部重构的方法,我们测量了在LCD模块上显示二值化图像后,单个系统在灰度化和二值化后的执行时间、整个系统的电路尺寸和功耗性能改进比。结果表明,动态局部重构可以提高系统的性能。结果,我们确认即使使用动态部分重新配置,系统也能正常工作。此外,与软件处理相比,我们能够将处理速度提高约2.13倍,并将电路尺寸缩小约24%。功耗也提高了13.8倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Effect of I/O Peripheral Dynamic Reconfiguration on FPGA
Embedded devices are equipped with specialized microcontrollers for each device. If an ultra-general purpose microcontroller with all peripherals existing, any kind of embedded device can be developed by such microcontroller. However, such microcontrollers cannot be built due to the scale and price. A dynamic partial reconfigurable microcontroller (DPR microcontroller), which has a function to switch circuits for each application, can realize an ultra-general purpose microcontroller that can be used for any application. For the realization and practical use of DPR microcontrollers, it is necessary to develop a hardware library-like structure in which optimized interface circuits for each peripheral device are designed in advance. In addition, the impact of dynamic switching of peripheral device interface circuits on performance has not been studied, so it is necessary to evaluate these effects. Using dynamic partial reconfiguration, we measure the execution time, circuit size of the entire system, and power performance improvement ratio of a single system that displays a binarized image on an LCD module after gray scaling and binarizing the image. The results show that the dynamic partial reconfiguration can be used to improve the performance of the system. As a result, we confirmed that the system works correctly even when dynamic partial reconfiguration is used. In addition, we were able to improve the processing speed by about 2.13 times compared with software processing, and reduce the circuit size by about 24%. We also achieved a 13.8-fold improvement in power consumption.
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