SCHEDULE: NOV 15-20, 2015

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Process Variation-Aware Power Scheduling for HPC Applications

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, ACM Student Research Competition Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Neha Gholkar

ROOM:Level 4 - Lobby

ABSTRACT:

Until recently research community has focused on minimizing energy usage
of super computers.
Considering the US DoE's mandate of power constraint of 20 MW for the exascale sites,
efforts need to be directed towards minimizing the wasteful
usage of power while maximizing performance under this constraint.

Most of the workloads on supercomputers are often coupled parallel
scientific simulations. It has been observed that
processors tend to be non-uniform with respect to their performance under power bounds. We also observe that the process variability translates into variation in peak power efficiency of the processors.
Hence, uniform power capping, a naive strategy of enforcing a job level power budget, does not lead to optimal solutions.

We propose a variation-aware algorithm that optimizes a job for performance
under a power constraint. Our experiments show that our algorithm achieves up to 29% improvement in performance as compared to uniform power capping.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Neha Gholkar - North Carolina State University

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