计算机工程2017，Vol.43Issue(5)：60-66,74,8.DOI:10.3969/j.issn.1000-3428.2017.05.010
影像数据分布并行计算处理平台体系架构研究
Research on Distributed Parallel Computing Processing Platform Architecture for Image Data
朱嘉舟 1邵培南 1陈景1
作者信息
- 1. 中国电子科技集团公司第三十二研究所,上海201800
- 折叠
摘要
Abstract
Remote image data parallel processing system basically relies on foreign commercial products,while domestic independent parallel processing system the task process support capability and parallel processing cannot meet the need of scale production.Therefore,based on HDFS,MapReduce cluster parallel architecture,CPU/GPU cooperative parallel processing,memory mapping,BMP and so on,this paper proposes the architecture and realization of a high-performance distributed parallel processing platform with process driven execution.Experimental results show that the multi-granularity mixing parallel processing architecture of cluster and workstation magnificently increases the parallel performance of the platform,which proposes an independent resolution to the scale production of massive remote image data products.关键词
大数据/Hadoop架构/Hadoop分布式文件系统/MapReduce框架/GPU并行计算Key words
big data/Hadoop architecture/Hadoop Distributed File System (HDFS)/MapReduce framework/GPU parallel computing分类
信息技术与安全科学引用本文复制引用
朱嘉舟,邵培南,陈景..影像数据分布并行计算处理平台体系架构研究[J].计算机工程,2017,43(5):60-66,74,8.
