Visualization: Volume rendering of multi-dimensional data sets
With dramatic increases in data volumes and complexity visualisation continues to be a key method of data interpretation with datasets of tens of terabytes being created through simulation or analysis of perhaps petabytes of raw data. This applies particularly to applications where volume rendering techniques are used where a 2-dimensional view of 3-dimensional data sets is created. These techniques are used in many domains ranging from engineering, for example the visualisation of combustion simulation results, to life sciences, where brain research could extend the effective skills of a future surgeons to a new dimension.
SAGE‘s multi-tiered architecture will allow for the realisation of virtual memory hierarchies to enable visualisation of datasets through efficient data management and exploitation of compute capabilities within the SAGE tiers.
The picture below (fly brain visualization) is an example of volume rendering which is a typical use case in this context.