Continuous And Discrete Models Of Melanoma Progression Simulated In Multi-Gpu Environment
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I(2017)
摘要
Existing computational models of cancer evolution mostly represent very general approaches for studying tumor dynamics in a homogeneous tissue. Here we present two very different cancer models: the heterogeneous continuous/discrete and purely discrete one, focusing on a specific cancer type - melanoma. This tumor proliferates in a complicated heterogeneous environment of the human skin. The results from simulations obtained for the two models are confronted in the context of their possible integration into a single multi-scale system. We demonstrate that the interaction between the tissue - represented by both the concentration fields (the continuous model) and the particles (the discrete model) - and the discrete network of blood vessels is the crucial component, which can increase the simulation time even one order of magnitude. To compensate this time lag, we developed GPU/CUDA implementations of the two melanoma models. Herein, we demonstrate that the continuous/discrete model, run on a multi-GPU cluster, almost fifteen times outperforms its multi-threaded CPU implementation.
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关键词
Melanoma modeling, Continuous/ discrete cancer model, Discrete tumor model, Multi-scale model, GPU implementation
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