Distributional Fractal Creating Algorithm in Parallel Environment

Nowadays, the fractal is used widely everywhere. Then, its creating time becomes an important study area for complex iteration functions because the escape-time algorithm (ETA), which is the most used algorithm in fractal creating, performs not so well in this condition. In this paper, in order to s...

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Main Authors: Shuai Liu, Weina Fu, Huimin Deng, Caihe Lan, Jiantao Zhou
Format: Article
Language:English
Published: SAGE Publishing 2013-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/281707
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spelling doaj-6175a8a93aa6443fa17918515446f2e72020-11-25T02:59:00ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-09-01910.1155/2013/281707Distributional Fractal Creating Algorithm in Parallel EnvironmentShuai Liu0Weina Fu1Huimin Deng2Caihe Lan3Jiantao Zhou4 School of Physical Science and Technology, Inner Mongolia University, Hohhot 010012, China Department of Computer Science and Technology, Hohhot University of Nationalities, Hohhot 010012, China College of Computer Science, Inner Mongolia University, Hohhot 010012, China College of Computer Science, Inner Mongolia University, Hohhot 010012, China College of Computer Science, Inner Mongolia University, Hohhot 010012, ChinaNowadays, the fractal is used widely everywhere. Then, its creating time becomes an important study area for complex iteration functions because the escape-time algorithm (ETA), which is the most used algorithm in fractal creating, performs not so well in this condition. In this paper, in order to solve this problem, we improve ETA into the parallel environment and reach well performance. At first, we provide a separation method of ETA to reform it into a SIMC-MC2 grid. Secondly, we prove its correctness and compute the complexity of this novel parallel algorithm. Meantime, we separate an improved ETA which we have presented into the same parallel environment and compute its complexity. Additionally, theoretical and experimental results show the characteristics of this novel algorithm. Finally, the computational result shows that a novel environment is needed to decrease large manual allocation strategies, which block the improved benefit.https://doi.org/10.1155/2013/281707
collection DOAJ
language English
format Article
sources DOAJ
author Shuai Liu
Weina Fu
Huimin Deng
Caihe Lan
Jiantao Zhou
spellingShingle Shuai Liu
Weina Fu
Huimin Deng
Caihe Lan
Jiantao Zhou
Distributional Fractal Creating Algorithm in Parallel Environment
International Journal of Distributed Sensor Networks
author_facet Shuai Liu
Weina Fu
Huimin Deng
Caihe Lan
Jiantao Zhou
author_sort Shuai Liu
title Distributional Fractal Creating Algorithm in Parallel Environment
title_short Distributional Fractal Creating Algorithm in Parallel Environment
title_full Distributional Fractal Creating Algorithm in Parallel Environment
title_fullStr Distributional Fractal Creating Algorithm in Parallel Environment
title_full_unstemmed Distributional Fractal Creating Algorithm in Parallel Environment
title_sort distributional fractal creating algorithm in parallel environment
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2013-09-01
description Nowadays, the fractal is used widely everywhere. Then, its creating time becomes an important study area for complex iteration functions because the escape-time algorithm (ETA), which is the most used algorithm in fractal creating, performs not so well in this condition. In this paper, in order to solve this problem, we improve ETA into the parallel environment and reach well performance. At first, we provide a separation method of ETA to reform it into a SIMC-MC2 grid. Secondly, we prove its correctness and compute the complexity of this novel parallel algorithm. Meantime, we separate an improved ETA which we have presented into the same parallel environment and compute its complexity. Additionally, theoretical and experimental results show the characteristics of this novel algorithm. Finally, the computational result shows that a novel environment is needed to decrease large manual allocation strategies, which block the improved benefit.
url https://doi.org/10.1155/2013/281707
work_keys_str_mv AT shuailiu distributionalfractalcreatingalgorithminparallelenvironment
AT weinafu distributionalfractalcreatingalgorithminparallelenvironment
AT huimindeng distributionalfractalcreatingalgorithminparallelenvironment
AT caihelan distributionalfractalcreatingalgorithminparallelenvironment
AT jiantaozhou distributionalfractalcreatingalgorithminparallelenvironment
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