P93: Spacehog: Evaluating the Costs of Dedicating
Resources to In Situ Analysis
SessionPoster Reception
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionUsing in situ analytics requires that computational
resources be shared between the simulation and the
analysis. With space-sharing, there is a possibility for
contention over these shared resources such as memory,
memory bandwidth, network bandwidth, or filesystem
bandwidth. In our analysis, we explore the sensitivity
of different applications with a set of microbenchmarks
that are representative of analytics that may be used
with scientific simulation. These tasks are modeled
using a library called libspacehog. The experimentation
consisted of examining three different dimensions of how
simulation workloads might be space-shared with analysis
codes. The results indicate that contention does need to
be considered when applying in situ analytic techniques
and can be of greater concern than simply the number of
analysis processes or overall process density. This
research provides an explanation on how the
application’s performance is affected by space-sharing
to further understand in situ analytic techniques.
