sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Exploring the Trade-Off Space of Hierarchical Scheduling for Very Large HPC Centers

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):Stephen Herbein

ROOM:Level 4 - Lobby


Hierarchical batch scheduling has many advantages, but a lack of trade-off studies against traditional scheduling precludes the emergence of effective solutions for very large HPC centers. Under hierarchical scheduling, any job can instantiate its own scheduler to schedule the sub-jobs with a distinct policy. While such scheduling parallelism and specialization are attractive for the expanding scale and resource diversity of the centers, hierarchical resource partitioning can lead to poor resource utilization. In this poster, we explore the trade-off space between scheduling complexity and resource utilization under hierarchical scheduling. Our approach includes novel techniques to create a hierarchical workload automatically from a traditional HPC workload. Our preliminary results show that one additional scheduling level can reduce scheduling complexity by a factor of 3.58 while decreasing resource utilization by up to 24%. Our study, therefore, suggests that poor utilization can happen under hierarchical scheduling and motivates dynamic scheduling as a complementary technique.

Chair/Author Details:

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

Stephen Herbein - University of Delaware

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