  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.
