We present FabSim, a toolkit developed to simplify a range of computational tasks for researchers in diverse disciplines. FabSim is flexible, adaptable, and allows users to perform a wide range of tasks with ease. It also provides a systematic way to automate the use of resourcess, including HPC and distributed resources, and to make tasks easier to repeat by recording contextual information. To demonstrate this, we present three use cases where FabSim has enhanced our research productivity. These include simulating cerebrovascular bloodflow, modelling clay-polymer nanocomposites across multiple scales, and calculating ligand-protein binding affinities.
@article{arxiv.1512.02194,
title = {FabSim: facilitating computational research through automation on large-scale and distributed e-infrastructures},
author = {Derek Groen and Agastya Bhati and James Suter and James Hetherington and Stefan Zasada and Peter Coveney},
journal= {arXiv preprint arXiv:1512.02194},
year = {2016}
}