GPU ENHANCED SIMULATION OF ANGIOGENESIS
AbstractIn 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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How to Cite
Worecki, M., & Wcisło, R. (2012). GPU ENHANCED SIMULATION OF ANGIOGENESIS. Computer Science, 13(1), 35. https://doi.org/10.7494/csci.2012.13.1.35