enabling fair pricing on high performance computer systems with node sharing
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ID: 216213
2014
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Abstract
Co-location, where multiple jobs share compute nodes in large-scale HPC systems, has been shown to increase aggregate throughput and energy efficiency by 10–20%. However, system operators disallow co-location due to fair-pricing concerns, i.e., a pricing mechanism that considers performance interference from co-running jobs. In the current pricing model, application execution time determines the price, which results in unfair prices paid by the minority of users whose jobs suffer from co-location. This paper presents POPPA, a runtime system that enables fair pricing by delivering precise online interference detection and facilitates the adoption of supercomputers with co-locations. POPPA leverages a novel shutter mechanism – a cyclic, fine-grained interference sampling mechanism to accurately deduce the interference between co-runners – to provide unbiased pricing of jobs that share nodes. POPPA is able to quantify inter-application interference within 4% mean absolute error on a variety of co-located benchmark and real scientific workloads.
| Reference Key |
breslow2014scientificenabling
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|---|---|
| Authors | ;Alex D. Breslow;Ananta Tiwari;Martin Schulz;Laura Carrington;Lingjia Tang;Jason Mars |
| Journal | environmental pollution |
| Year | 2014 |
| DOI |
10.3233/SPR-140387
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| URL | |
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