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bioRxiv · 10.1101/032086

Vectorization techniques for efficient agent-based model simulations of tumor growth

Jan Poleszczuk·Heiko Enderling
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Abstract

AbstractMulti-scale agent-based models are increasingly used to simulate tumor growth dynamics. Simulating such complex systems is often a great challenge despite large computational power of modern computers and, thus, implementation techniques are becoming as important as the models themselves. Here we show, using a simple agent-based model of tumor growth, how the computational time required for simulation can be decreased by using vectorization techniques. In numerical examples we observed up to 30-fold increases in computation performance when standard approaches were, at least in part, replaced with vectorized routines in MATLAB.

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Jan Poleszczuk, Heiko Enderling. 2015-11-17. Vectorization techniques for efficient agent-based model simulations of tumor growth. https://doi.org/10.1101/032086

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