This paper uses cellular_raza to develop a model with cell-type specific interactions whereby cells self-assemble into regions of similar species which is also known as cell-sorting. We use this model to asses the parallelization performance of the numerical backend at the core of cellular_raza and show that values of up to p = 97.78 ± 0.14% parallelizable code can be achieved, which indicates a high level of parallelizability
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