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Probabilistic job symbiosis modeling for SMT processor scheduling
2010
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems - ASPLOS '10
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 systemlevel priorities/shares. This paper proposes probabilistic job symbiosis modeling, which predicts whether jobs
doi:10.1145/1736020.1736033
dblp:conf/asplos/EyermanE10
fatcat:bvepqdfh4jacpooq2hdwytvbhu