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 |
| _version_ | 1818420897015398400 |
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| author | Marcin Worecki Rafał Wcisło |
| author_facet | Marcin Worecki Rafał Wcisło |
| author_sort | Marcin Worecki |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T13:01:45Z |
| format | Article |
| id | doaj.art-eb33e1e83ef349c28bead8acb5b42eff |
| institution | Directory Open Access Journal |
| issn | 1508-2806 |
| language | English |
| last_indexed | 2024-12-14T13:01:45Z |
| publishDate | 2012-01-01 |
| publisher | AGH University of Science and Technology Press |
| record_format | Article |
| series | Computer Science |
| spelling | doaj.art-eb33e1e83ef349c28bead8acb5b42eff2022-12-21T23:00:26ZengAGH University of Science and Technology PressComputer Science1508-28062012-01-011313510.7494/csci.2012.13.1.35Gpu Enhanced Simulation Of AngiogenesisMarcin Worecki0Rafał Wcisło1AGH University of Science and Technology, Department of Computer Science, KrakowAGH University of Science and Technology, Department of Computer Science, KrakowIn 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.http://journals.agh.edu.pl/csci/article/download/27/20 |
| spellingShingle | Marcin Worecki Rafał Wcisło Gpu Enhanced Simulation Of Angiogenesis Computer Science |
| title | Gpu Enhanced Simulation Of Angiogenesis |
| title_full | Gpu Enhanced Simulation Of Angiogenesis |
| title_fullStr | Gpu Enhanced Simulation Of Angiogenesis |
| title_full_unstemmed | Gpu Enhanced Simulation Of Angiogenesis |
| title_short | Gpu Enhanced Simulation Of Angiogenesis |
| title_sort | gpu enhanced simulation of angiogenesis |
| url | http://journals.agh.edu.pl/csci/article/download/27/20 |
| work_keys_str_mv | AT marcinworecki gpuenhancedsimulationofangiogenesis AT rafałwcisło gpuenhancedsimulationofangiogenesis |