P23: AI with Super-Computed Data for Monte Carlo
Earthquake Hazard Classification
SessionPoster Reception
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionMany problems associated with earthquakes are yet to be
solved using heroic computing, which is defined as
computing at the largest scale possible using the best
supercomputers and algorithms. Thus, a continuous effort
has been pursued in HPC to solve these problems.
However, even when heroic computing is applied, its
practical use is difficult without considering the
uncertainties in models. In this study, we constructed
an AI methodology that uses super-computed data
generated using heroic computing. We applied this AI to
an earthquake hazard classification including
uncertainty analyses in order to demonstrate its
utility. This study can be regarded as an innovative
step towards realizing high quality computing for
Earthquakes by exploiting the potential of HPC through
AI.
