Gpu Enhanced Simulation Of Angiogenesis
In the paper we present the use of graphic processor units to accelerate the most time-consuming stages of a simulation of angiogenesis and tumor growth. By the use of advanced CUDA mechanisms such as shared memory, textures and atomic operations, we managed to speed up the CUDA kernels by a fac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AGH University of Science and Technology Press
2012-01-01
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| Series: | Computer Science |
| Online Access: | http://journals.agh.edu.pl/csci/article/download/27/20 |
| Summary: | In the paper we present the use of graphic processor units to accelerate the most time-consuming stages of a simulation of angiogenesis and tumor growth. By the use of advanced CUDA mechanisms such as shared memory, textures and atomic operations, we managed to speed up the CUDA kernels by a factor of 57x. However, in our simulation we used the GPU as a co-processor and data from CPU was copied back and forth in each phase. It decreased the speedup of rewritten stages by 40%. We showed that the performance of the entire simulation can be improved by a factor of 10 up to 20. |
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| ISSN: | 1508-2806 |