With the advent of the era of petascale supercomputing and the drive to exascale, there is a pressing need to address the problem of analyzing and visualizing massive peta/exascale-sized results.

In this presentation, I will discuss progress on a number of approaches we are pursuing at Los Alamos including science-driven feature extraction integrated with in-situ analysis, multi-resolution out-of-core data streaming and interactive rendering on the supercomputing platform.

These approaches are placed in context by the emerging area of data-intensive supercomputing.