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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tingjun Yang Zhengge Huang Xingsheng Lin Jianjun Chen Jun Ni |
| Copyright Year | 2007 |
| Description | Author affiliation: Zhejiang Univ., Hangzhou (Tingjun Yang; Zhengge Huang; Xingsheng Lin; Jianjun Chen) |
| Abstract | The L-system is a commonly used methodology to generate fractals and realistic model plants, yet it is very complex and computationally expensive. This paper presents a new parallel L-system string re-writing algorithm based on two types of binary tree: the growth-state tree (GST) and the growth-manner tree (GMT). This data structure makes one of the basic operations in the L-system - left and right context searching - extremely easy during the process of growth-state evolvement. Another benefit from this data structure is that we can make use of pseudo nodes to store information about neighboring sub-strings after each string partition. This helps working processes, in both the stage of growth and rendering, communicate well with each other so as to accomplish the final image compositions. Results of experimental tests have demonstrated that our parallel strategy works effectively on clusters with a multi-processors architecture. |
| Starting Page | 245 |
| Ending Page | 252 |
| File Size | 139575 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769530390 |
| DOI | 10.1109/IMSCCS.2007.96 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Concurrent computing Computer science Layout Binary trees Computer graphics Rendering (computer graphics) Data structures Educational institutions Fractals Parallel algorithms |
| Content Type | Text |
| Resource Type | Article |
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