P73: HPC Production Job Quality Assessment
SessionPoster Reception
Authors
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionUsers of HPC systems would benefit from more feedback
about the quality of their application runs, such as
knowing whether or not the performance of a particular
run was good, or whether the resources requested were
enough, or too much. Such feedback requires more
information to be kept regarding production application
runs, and requires some analytics to assess any new
runs. In this research, we assess the practicality of
using job data, system data, and hardware performance
counters in a near-zero overhead manner to assess job
performance, in particular whether or not the job
runtime was in line with expectations from historical
application performance. We show over four proxy
applications and two real application that our
assessment is within 10% of actual performance.
