Workload-Aware Power Management
Moab® HPC Suite’s workload awareness enables it to provide a unique and innovative solution to power management. It is estimated that over the life of an HPC system, accrued energy costs are equivalent to the cost of the hardware itself. With HPC systems expanding rapidly, energy control is increasingly necessary to reducing costs, meeting power targets, and minimizing carbon footprint. Through idle system power reclamation and per-application power optimization, Moab® offers the tools necessary for organizations to identify, create, and implement the optimal power savings solutions to meet their power management objectives.
Idle System Power Reclamation
Through Moab’s Intelligent Power Management, HPC users can lower the power state of idle nodes in order to reclaim unnecessary energy usage. HPC systems inevitably experience some measure of node idleness, for example, at the start and end of the life of a cluster, during evenings, weekends, and holidays, or any other time when job submissions slow down or halt. Moab® identifies nodes that are not currently executing workloads and takes them offline by lowering their power state to either standby, suspend, hibernate, or off. This will result in significant reductions in excess power usage, especially with large systems.
To maintain fast response times, Moab® utilizes a Green Pool Buffer Policy which helps to mitigate the delay inherent in restarting these offline nodes. The Green Pool is a small number of nodes permitted to remain in an idle state, thereby ensuring that there are always online nodes readily available for new jobs. The Green Pool then powers down or powers up nodes to maintain quick access to idle nodes, but leverages Moab’s predictive power to ensure that the system is always prepared to perform optimally, while still saving energy appropriately.
- Eliminate excess power consumption
- Decrease carbon footprint
- Maintain system responsiveness
Per-Application Power OptimizationMoab® HPC Suite also offers the ability to automate individual CPU clock frequency on a per-application basis. At job submission the end user has the opportunity to override defaults and set a specific clock speed in correspondence with the nature and type of the job. Power can therefore be saved by appropriately reducing the clock speed of non-CPU intensive or low priority workloads, where increased speed won’t make a difference in performance, and maintaining defaults will only result in consuming energy needlessly. In addition, admins can assign a clock job submission option to a best practices Moab® job template, causing all jobs matching that template to automatically inherit the desired clock speed.
- Reduce unnecessary power usage
- Minimize energy costs
- Stay within application-optimized power caps
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Remember the good old days when the only concern with HPC was making systems bigger and discovering ways to achieve peak performance? Unfortunately, the fruits of those exciting times created a challenge: how do we afford to power these ever-growing massive machines, limit their carbon footprint, stay within imposed power caps, comply with government regulations,…
Moab Cloud’s workload awareness enables it to provide a unique and innovative solution to power management. It is estimated that over the life of an HPC system, accrued energy costs are equivalent to the cost of the hardware itself. With HPC systems expanding rapidly, energy control is increasingly necessary to reducing costs, meeting power targets,…