SunwayImg: A Parallel Image Processing Library for the Sunway Many-Core Processor

被引：0

作者：

Liu, Rui ^{[1
,2
]}

Liu, Yi ^{[1
,2
]}

Zhao, Meiting ^{[1
]}

Song, Kaida ^{[1
]}

Qian, Depei ^{[1
,2
]}

机构：

[1] Beihang Univ, Sino German Joint Software Inst, Beijing 100191, Peoples R China

[2] State Key Lab Math Engn & Adv Comp, Wuxi 214000, Jiangsu, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Image library; high performance computing; parallel computing; deep neural networks;

D O I：

10.1109/ACCESS.2019.2939940

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many big data applications need to process massive images and videos, while the performance of image processing is far from reaching requirements. This paper proposes the SunwayImg, a parallel image processing library, to support image-related applications on the Sunway many-core processor as well as the Sunway TaihuLight supercomputer. The SunwayImg integrates three kinds of image algorithms: fundamental algorithms to support basic image operations on the Sunway processor, widely used image feature extraction algorithms and a typical neural network model DBN. In addition, to parallelize various kinds of image algorithms efficiently on the Sunway processor, we propose a three-tier parallelization strategy as well as fine-grained parallelization inside core-groups. Finally, we accomplish implementation of the SunwayImg and evaluate it on the Sunway TaihuLight supercomputer to verify its effectiveness and performance.

引用

页码：128555 / 128569

页数：15

共 37 条

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