Difference between revisions of "Data Intensive Computing"
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Latest revision as of 21:35, 23 March 2016
Data Intensive Computing, sometimes known as big data, is often identify by three main characteristics
The Three V's
The “Three V’s” of big data as applied to HPC are:
- Volume:
- Increasing mesh resolution
- Increasing temporal complexity
- Variety:
- Higher-dimensional data
- Increasing multi-variance
- Complex data models
- Ensembles, parameter studies
- Velocity:
- Future hardware constraints will limit I/O
