4.7 Article

FabSim: Facilitating computational research through automation on large-scale and distributed e-infrastructures

Journal

COMPUTER PHYSICS COMMUNICATIONS
Volume 207, Issue -, Pages 375-385

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2016.05.020

Keywords

Automation; Workflows; Distributed computing; Software; Bloodflow modelling; Molecular dynamics; Multiscale modelling; Clay-polymer nanocomposites

Funding

  1. EU [261507, 287703, 270089, 269978, 671564]
  2. EPSRC [EP/I017909/1, EP/F00521/1, EP/E045111/1, EP/I017763/1]
  3. Qatar National Research Fund [09-260-1-048]
  4. MRC Bioinformatics project [MR/L016311/1]
  5. UCL Provost
  6. INLAKS Foundation Scholarship
  7. UCL Overseas Research Studentship Award
  8. UK Consortium on Mesoscopic Engineering Sciences [EP/L00030X/1]
  9. EPSRC [EP/E045111/1, EP/L00030X/1] Funding Source: UKRI
  10. Engineering and Physical Sciences Research Council [EP/L00030X/1, EP/E045111/1] Funding Source: researchfish

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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 resources, including HPC and distributed machines, 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.

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