A NEW PARALLEL SCHEDULING ALGORITHM BASED ON MPI

被引：0

作者：

Wang, Xiaoyong ^{[1
,2
]}

Li, Feng ^{[2
]}

Ma, Jun ^{[1
]}

Xin, Lei ^{[2
]}

Yang, Xue ^{[2
]}

Chang, Xing ^{[2
,4
]}

Chang, Haoyang ^{[3
]}

机构：

[1] Henan Univ, Lab Spatial Data Proc Technol, Kaifeng 475001, Peoples R China

[2] Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China

[3] Univ Elect Sci & Technol China, Coll Comp Sci & Engn, Int Ctr Wavelet Anal & Its Applicat, Chengdu 611731, Sichuan, Peoples R China

[4] Univ Lanzhou Jiaotong China, Sch Elect & Informat Engn, Elect & Commun Engn, Lanzhou 730070, Gansu, Peoples R China

来源：

2018 15TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2018年

关键词：

Super resolution; Parallel computational; Task scheduling; MPI; WFM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

GPU is widely used in many fields with the development of machine vision, but after much research that parallel algorithm in traditional is inefficient to paralleling task directly. MPI (Message Passing Interface) is used in this paper to improve computational performance, and a new task scheduling algorithm WFM (Working Forever with MPI) is proposed to improve the computational performance by reducing the idle time of each group of CPU's task and GPU's task. Our experimental results show that the same SR task can be speed up by two times with the performance of WFM on the same Jetson TX2.

引用

页码：228 / 231

页数：4

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