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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2013-09-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2013/281707 |
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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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1724704172680413184 |