Job Scheduler-Driven Power Gateway for High Performance Computing
Wednesday, June 11, 2025 1:25 PM to 1:50 PM · 25 min. (Europe/Berlin)
Hall F - 2nd floor
Research Paper
Data Center Infrastructure and CoolingEnergy ManagementResource Management and SchedulingSustainability and Energy EfficiencySystem and Performance Monitoring
Information
Power gateways in the form of a microgrid can
incorporate multiple distributed energy resources (DER) in
either grid forming or grid following mode and support high
performance computing (HPC) power profiles including the large
load-follow requirements observed in multi-user HPC systems.
The microgrid’s flexibility to operate in either grid forming or
grid following mode and to actively switch between these modes
enables baseline power from multiple non-baseline DER while
maintaining high power quality metrics for the HPC system.
But this enormous flexibility in demand response and time
of use shifting is generally programmed independently of any
integration with an HPC job scheduler, which can better inform
the load shaping by the microgrid. While there are many existing
approaches where the HPC job scheduler takes in information
from the grid to make queue scheduling decisions, this work
takes the opposite view and explores three strategies where the
forecast of jobs in the queue can change the settings of the grid.
Three strategies are tested where the forecast of jobs in the queue
adjusts the settings of a microgrid designed for a datacenter, in
this case with three classes of HPC architectures. The strategies
are demonstrated using a microgrid with 64 kW of solar capacity
and 320 kWh of battery over a period of 21 days operating with
significant load-follow swings, a throttled grid, cloudy conditions,
switching between grid following and grid forming modes, and
a wide range of battery states-of-charge, all while maintaining
high quality power metrics. The strategies presented provide a
mechanism for the forecast of jobs in the queue to influence and
adjust the settings of a microgrid and to improve HPC power
outcomes such as maximizing renewable energy usage.
Contributors:
incorporate multiple distributed energy resources (DER) in
either grid forming or grid following mode and support high
performance computing (HPC) power profiles including the large
load-follow requirements observed in multi-user HPC systems.
The microgrid’s flexibility to operate in either grid forming or
grid following mode and to actively switch between these modes
enables baseline power from multiple non-baseline DER while
maintaining high power quality metrics for the HPC system.
But this enormous flexibility in demand response and time
of use shifting is generally programmed independently of any
integration with an HPC job scheduler, which can better inform
the load shaping by the microgrid. While there are many existing
approaches where the HPC job scheduler takes in information
from the grid to make queue scheduling decisions, this work
takes the opposite view and explores three strategies where the
forecast of jobs in the queue can change the settings of the grid.
Three strategies are tested where the forecast of jobs in the queue
adjusts the settings of a microgrid designed for a datacenter, in
this case with three classes of HPC architectures. The strategies
are demonstrated using a microgrid with 64 kW of solar capacity
and 320 kWh of battery over a period of 21 days operating with
significant load-follow swings, a throttled grid, cloudy conditions,
switching between grid following and grid forming modes, and
a wide range of battery states-of-charge, all while maintaining
high quality power metrics. The strategies presented provide a
mechanism for the forecast of jobs in the queue to influence and
adjust the settings of a microgrid and to improve HPC power
outcomes such as maximizing renewable energy usage.
Contributors:
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Documents & Links
Read the Full Paper Open Access at IEEE Xplore!
