Performance analysis of parallel high-resolution image restoration algorithms on Intel supercomputer

被引：2
|
作者：
Lirkov, Ivan [1 ]
Harizanov, Stanislav [1 ,2 ]
Paprzycki, Marcin [3 ]
Ganzha, Maria [3 ,4 ]
机构：
[1] Bulgarian Acad Sci, Inst Informat & Commun Technol, Sofia 1113, Bulgaria
[2] Bulgarian Acad Sci, Inst Math & Informat, Sofia, Bulgaria
[3] Polish Acad Sci, Syst Res Inst, Dept Intelligent Syst, Warsaw, Poland
[4] Warsaw Univ Technol, Dept Math & Informat Sci, Warsaw, Poland
来源：
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2021年 / 33卷 / 04期
关键词：
Anscombe transform; image restoration; parallel algorithm; Intel Xeon Phi coprocessor;
D O I：
10.1002/cpe.5996
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this article, we present an experimental performance study of a parallel implementation of two Poissonian image restoration algorithms. Hybrid parallelization, based on MPI and OpenMP standards, is investigated. The implementation is tested for high-resolution radiographic images, on a supercomputer based on Intel Xeon processors, combined with Intel Xeon Phi coprocessors. The experimental results show an essential improvement in the execution times, when running experiments for a variety of problem sizes, and number of threads.
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页数：14
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