A run-time reconfigurable engine for image interpolation

R. D. Hudson, D. Lehn, P. Athanas
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引用次数: 71

Abstract

Custom Computing Machines (CCM's) have demonstrated significant performance advantages over general-purpose processors for certain classes of problems. However, problems can always be found which require computational resources in excess of those available on a particular CCM. Exploiting the reconfigurable nature of FPGAs can alleviate this limitation. The FPGAs' computational resources can be time multiplexed to allow different portions of the computation to execute in stages. Intermediate results are saved to memory and passed on to later stages of the computation. This technique is used in this work to implement an image interpolation engine on the Xilinx XC6264 Reference Board. The engine utilizes 2-5-2 splines to take advantage of their computationally convenient powers-of-two arithmetic.
一个运行时可重构的图像插值引擎
对于某些类型的问题,自定义计算机器(CCM)已经证明了比通用处理器显著的性能优势。然而,总是可以发现一些问题,这些问题需要的计算资源超过特定CCM上可用的计算资源。利用fpga的可重构特性可以缓解这一限制。fpga的计算资源可以进行时间复用,以允许不同部分的计算分阶段执行。中间结果保存到内存中,并传递到计算的后期阶段。本研究利用该技术在Xilinx XC6264参考板上实现了一个图像插值引擎。该引擎利用2-5-2样条来利用其计算方便的2的幂运算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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