Multiprocessing of an individual-cell based model for parameter testing

To simulate the behaviour of cell-level biological interactions, cells can be modeled as individual agents interacting with each other. To identify the effects of parameter perturbation, a massive number of simulations are usually required that are feasible to carry out by parallel computation. In this article, a multiprocessing scheme is defined to reduce the overall runtime. The scheme relies on predicting the expected computational cost of each input parameter set, and scheduling them based on the Longest Processing Time (LPT) heuristic rule.