Interactive Visualization Tool for Tumor Growth Simulations

We present the main requirements and ready-to-use components of the interactive visualization tool for modeling of solid tumor proliferation. As the simulation engine it uses complex automata paradigm, which integrates cellular automata with particle dynamics. To make it sufficiently fast for interactive visualization we show that the system can be efficiently implemented on multicore workstations, with moderate number of processors controlled by data parallel interface such as OpenMP. In the near future the system will be empowered by a combined CPU and GPU computational environment. This in silico lab system is intended for medical laboratories doing research in oncology and/or in anticancer drug design.

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