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