P57: Adaptive Tier Selection for NetCDF and HDF5
SessionPoster Reception
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionScientific applications on supercomputers tend to be
I/O-intensive. To achieve portability and performance,
data description libraries such as HDF5 and NetCDF are
commonly used. Unfortunately, the libraries often
default to suboptimal access patterns for
reading/writing data to multi-tier distributed storage.
This work explores the feasibility of adaptively
selecting tiers depending on an application's I/O
behavior.
