Data Centers

Probabilistic Job Symbiosis Modeling for SMT Processor Scheduling

Date Added: Mar 2010
Format: PDF

Symbiotic job scheduling boosts Simultaneous Multithreading (SMT) processor performance by co-scheduling jobs that have 'Compatible' demands on the processor's shared resources. Existing approaches however require a sampling phase, evaluate a limited number of possible co-schedules, use heuristics to gauge symbiosis, are rigid in their optimization target, and do not preserve system-level priorities/shares. This paper proposes probabilistic job symbiosis modeling, which predicts whether jobs will create positive or negative symbiosis when co-scheduled without requiring the co-schedule to be evaluated. The model, which uses per-thread cycle stacks computed through a previously proposed cycle accounting architecture, is simple enough to be used in system software.