P98: Energy Efficiency in HPC with Machine Learning and Control Theory
SessionPoster Reception
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.
