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.
