SCHEDULE: NOV 15-20, 2015

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Lessons from Post-Processing Climate Data on Modern Flash-Based HPC Systems

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):Adnan Haider

ROOM:Level 4 - Lobby

ABSTRACT:

Flash devices are a plausible solution to accelerate I/O bound applications. However, the tradeoffs associated with different flash architectures is unclear. We quantitatively assess two modern flash architectures, Gordon (local) and Wrangler (pooled), to facilitate correct matching between I/O workloads and flash storage architectures. We analyze performance using post-processing climate data applications, which have a diverse set of I/O workloads and are integral for climate science discovery. We learned three main concepts. First, we found that an incorrect matching between storage architecture and I/O workload can hide the benefits of flash by increasing runtime by 2x. Second, after tuning Gordon's architecture, we found that a local flash architecture could be a cost-effective alternative to a pooled architecture if scalability and interconnect bottlenecks are alleviated. Third, the benefits of running post-processing applications on the latest data-intensive systems which lack flash devices can provide significant speedups, lessening the need for flash.

Chair/Author Details:

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

Adnan Haider - Illinois Institute of Technology

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