P98: Energy Efficiency in HPC with Machine Learning and
Control Theory
SessionPoster Reception
Authors
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionPerformance and power management in HPC has
historically favored a race-to-idle approach in order to
complete applications as quickly as possible, but this
is not energy-efficient on modern systems. As we move
toward exascale and hardware over-provisioning, power
management is becoming more critical than ever for HPC
system administrators, opening the door for more
balanced approaches to performance and power management.
We propose two projects to address balancing application
performance and system power consumption in HPC during
application runtime, using closed loop feedback designs
based on the Self-Aware Computing Model to observe,
decide, and act.
