The University of Auckland
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S-MAP_Workflows_on_and_off_the_Cluster.pdf (9.9 MB)

S-MAP Workflows on and off the cluster

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presentation
posted on 2019-09-24, 02:57 authored 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

New Zealand eScience Infrastructure

Ministry of Business, Innovation and Employment

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History

Publisher

New Zealand eScience Infrastructure

Spatial coverage

New Zealand

Temporal coverage: start

2019-09-05

Temporal coverage: end

2019-09-06

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