Pow

Abstract

Current trends for high-performance computing systems are leading us towards hardware over-provisioning where it is no longer possible to run each component at peak power without exceeding a system or facility wide power bound. In such scenarios, the power consumed by individual components must be artificially limited to guarantee system operation under a given power bound. In this paper, we present the design of a power scheduler capable of enforcing such a bound using dynamic system-wide power reallocation in an application-agnostic manner. Our scheduler achievies better job runtimes than a naïve power scheduling approach without requiring a priori knowledge of application power behavior.

Distributed Strategy for Power Re-Allocation in High Performance Applications

“…The work in [8] discusses a hardware-level power capping strategy for limiting DRAM power consumption. Authors in [9] propose a design of a power scheduler capable of enforcing power bounds by using dynamic system-wide power reallocation. Authors in [10] propose Uncore Power Scavenger, a runtime system that dynamically detects phase changes in application and determines the best uncore frequency for every phase to save power without significant impact on the performance.…”

Maximizing Performance under a Power Constraint on Modern Multicore Systems

“…The idea of hard-ware overprovisioning has been used in [16] by proposing a scheme for determining the optimal number of nodes while distributing power between the CPU and memory. The design of a power scheduler capable of enforcing power bounds by employing dynamic system-wide power reallocation was discussed in [17].…”