Mathematical Analysis of Large Data Sets

Monday, February 20, 2006, 3:40 p.m. PSA 113

Dan Stanzione

Fulton School High Performance Computing, ASU

HPC Analytics:
Large Data Sets and High Performance Computing

Abstract How large is a large data set? Our rapidly improving computational capability is causing an explosion in the amount of data we can generate, but perhaps having the opposite effect on the amount of useful *knowledge* generated. This talk will briefly outline what modern HPC architecture means in terms of our ability to generate data on cutting edge systems at ASU and elsewhere... and why we need to start thinking of "large" in new terms. The emerging discipline of HPC analytics will also be discussed, exploring possible avenues for finding knowledge in the data.

For further information please contact: Anne Gelb