Implementation and Optimization of Template Matching Algorithm for FT-M6678

Jiang Hu, Jiandong Shang, Yun-shan Chen, Mengyuan Wang, Xia Chai
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Abstract

Feiteng FT-M6678 (hereinafter referred to as M6678) DSP is a multi-core highperformance DSP with completely independent intellectual property rights. M6678 adopts the Harvard architecture and the new KeyStone multi-core architecture that store instructions and data separately. In general, the multiple classic image processing classic algorithms including correlation matching are not efficient for M6678 DSP architecture. To promote the application of domestic DSP chips in the field of image processing and artificial intelligence. Here, the correlation matching algorithm based on the correlation coefficient is transplanted to the M6678 platform, combining the algorithm characteristics and the architecture characteristics of the target platform, performance optimization in terms of parallelism and locality is carried out. The performance of the program is obviously improved, and the unique computing resources of the platform are more fully utilized, which is meaningful for the transplantation and optimization of other image processing algorithms on the platform.
FT-M6678模板匹配算法的实现与优化
飞腾FT-M6678(以下简称M6678) DSP是一款具有完全自主知识产权的多核高性能DSP。M6678采用哈佛架构和新的KeyStone多核架构,指令和数据分开存储。一般来说,包括相关匹配在内的多种经典图像处理经典算法在M6678 DSP架构下效率不高。推动国产DSP芯片在图像处理和人工智能领域的应用。本文将基于相关系数的相关匹配算法移植到M6678平台上,结合算法特点和目标平台的架构特点,从并行性和局部性两方面进行性能优化。该方案的性能得到了明显的提高,平台独特的计算资源得到了更充分的利用,这对于平台上其他图像处理算法的移植和优化具有重要意义。
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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