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|Title:||FabSim: Facilitating computational research through automation on large-scale and distributed e-infrastructures|
|Keywords:||Automation;Workflows;Distributed computing;Software;Bloodflow modelling;Molecular dynamics;Lattice-Boltzmann;Multiscale modelling;Clay-polymer nanocomposites;Ligand-protein binding|
|Citation:||Computer Physics Communications, 207: pp. 375 - 385, (2016)|
|Abstract:||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 pro- vides 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 sim- ulating cerebrovascular bloodflow, modelling clay-polymer nanocomposites across multiple scales, and calculating ligand-protein binding affinities.|
|Appears in Collections:||Dept of Computer Science Research Papers|
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