Data Intensive Computing: Difference between revisions
From SCECpedia
Jump to navigationJump to search
Created page with "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..." |
No edit summary |
||
| Line 14: | Line 14: | ||
* Velocity: | * Velocity: | ||
** Future hardware constraints will limit I/O | ** Future hardware constraints will limit I/O | ||
== Related Entries == | |||
*[[Geoinformatics Projects]] | |||
*[[CME Project]] | |||
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
