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Recent studies have showed the effectiveness of job co-scheduling in alleviating shared-cache contention on Chip Multiprocessors. Although program inputs affect cache usage and thus cache contention significantly, their influence on co-scheduling remains unexplored. In this paper, the authors measure that influence and show that the ability to adapt to program inputs is important for a co-scheduler to work effectively on Chip Multiprocessors. They then conduct an exploration in addressing the influence by constructing cross-input predictive models for some memory behaviors that are critical for a recently proposed co-scheduler.
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