P94: Fully Hierarchical Scheduling: Paving the Way to
Exascale Workloads
SessionPoster Reception
Authors
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionExascale workloads, such as uncertainty quantification
(UQ), represent an order of magnitude increase in both
scheduling scale and complexity. Batch schedulers with
their decades-old, centralized scheduling model will
fail to address the needs of these new workloads. To
address these upcoming challenges, we claim that HPC
schedulers must transition from the centralized to the
fully hierarchical scheduling model. In this work, we
assess the impact of the fully hierarchical model on
both a synthetic stress test and a real-world UQ
workload. We observe over a 100x increase in scheduler
scalability on the synthetic stress test and a 37%
decrease in the runtime of real-world UQ workloads under
the fully hierarchical model. Our empirical results
demonstrate that the fully hierarchical scheduling model
can overcome the limitations of existing schedulers to
meet the needs of UQ and other exascale workloads.
Authors
