S-MAP Workflows on and off the cluster
We present an approach to automating workflows for reproducible science than can be run on or off the NeSI cluster with minimal alteration. This mechanism allows us to us the same workflow methodology for jobs that can be run locally as those utilising the NeSI facilities.
We outline the core methodology, and I discuss number of workflow approaches we are implementing to standardise our workflows, code engineering, and metadata production.
New Zealand eScience Infrastructure
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