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Predictive modeling based power estimation for embedded multicore systems
2016
Proceedings of the ACM International Conference on Computing Frontiers - CF '16
The increasing number of cores in embedded devices results in improved performance compared to single-core systems. Further, the unique characteristics of these systems provide numerous opportunities for power management which require models for power estimation. In this work, a statistical approach that models the impact of the individual cores and memory hierarchy on overall power consumed by Chip Multiprocessors is developed using Performance Counters. In particular, we construct a per-core
doi:10.1145/2903150.2911714
dblp:conf/cd/Sankaran16
fatcat:laqycfmrmrbzjaj5eti6y6oezi