MaBoSS for HPC environments: Implementations of the continuous time Boolean model simulator for large CPU clusters and GPU accelerators#
Authors#
Adam Šmelko, Miroslav Kratochvil, Emmanuel Barillot, Vincent Noël
Abstract#
Computational models in systems biology are becoming more important with the advancement of experimental techniques to query the mechanistic details responsible for leading to phenotypes of interest. In particular, Boolean models are well fit to describe the complexity of signaling networks while being simple enough to scale to a very large number of components. With the advance of Boolean model inference techniques, the field is transforming from an artisanal way of building models of moderate size to a more automatized one, leading to very large models. In this context, adapting the simulation software for such increases in complexity is crucial. We present two new developments in the continuous time Boolean simulators: MaBoSS.MPI, a parallel implementation of MaBoSS which can exploit the computational power of very large CPU clusters, and MaBoSS.GPU, which can use GPU accelerators to perform these simulations.
Code Availability#
The repository for MaBoSS software is available on GitHub via https://github.com/sysbio-curie/MaBoSS
The repository containing optimized CUDA GPU implementation of the MaBoSS tool is available on GitHub via https://github.com/sysbio-curie/MaBoSS.GPU
The replication package containing code and experimental results related to the publication are available on GitHub via https://github.com/asmelko/gigascience24-artifact