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.
Original language | English |
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Pages (from-to) | 59-74 |
Number of pages | 16 |
Journal | Scientific Programming |
Volume | 22 |
Issue number | 2 |
DOIs | |
State | Published - 2014 |
Externally published | Yes |
Keywords
- Online pricing
- chip multiprocessor
- computer systems management
- contention
- resource sharing
- supercomputer accounting