Working paper Open Access

Scaling of Biological Data Work ows to Large HPC Systems - A Case Study in Marine Genomics -

Thomas Röblitz


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.823031", 
  "author": [
    {
      "family": "Thomas R\u00f6blitz"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2014, 
        6, 
        4
      ]
    ]
  }, 
  "abstract": "<p>Sequencing projects, like the Aqua Genome project, generate vast amounts of data which is processed through dif-<br>\nferent work ows composed of several steps linked together. Currently, such workflows are often run manually on<br>\nlarge servers. With the increasing amount of raw data that approach is no longer feasible. The successful imple-<br>\nmentation of the project's goals requires 2-3 orders of magnitude scaling of computing, while achieving high reli-<br>\nability on and supporting ease-of-use of super computing resources at the same time. We describe two example<br>\nuse cases, the implementation challenges and constraints, the actual application enabling and report our ndings.</p>", 
  "title": "Scaling of Biological Data Work ows to Large HPC Systems - A Case Study in Marine Genomics -", 
  "type": "article", 
  "id": "823031"
}
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