Working paper Open Access
Scaling of Biological Data Work ows to Large HPC Systems - A Case Study in Marine Genomics -
Thomas Röblitz
Citation Style Language JSON Export
{
"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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|---|---|---|
| Views | 40 | 40 |
| Downloads | 20 | 20 |
| Data volume | 10.1 MB | 10.1 MB |
| Unique views | 39 | 39 |
| Unique downloads | 19 | 19 |
Indexed in
- Publication date:
- June 4, 2014
- DOI:
-
- Keyword(s):
- workflows, magnitude scaling
- Grants:
-
European Commission:
- PRACE-3IP - PRACE - Third Implementation Phase Project (312763)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International