GPU Enhanced Simulation of Angiogenesis

Marcin Worecki, Rafal Wcislo
AGH University of Science and Technology, Department of Computer Science, Krakow, Poland
Computer Science, 13 (1). pp. 35-48. ISSN 1508-2806, 2012



   author={Worecki, M. and Wcislo, R.},






Download Download (PDF)   View View   Source Source   



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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Contact us: