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S-MAP Workflows on and off the cluster

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posted on 24.09.2019 by Robbie Price

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.


Funding

National eScience Infrastructure

Ministry of Business, Innovation and Employment

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Publisher

New Zealand eScience Infrastructure

Spatial coverage

New Zealand

Temporal coverage: start

05/09/2019

Temporal coverage: end

06/09/2019

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