Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture 2019
DOI: 10.1145/3352460.3358312
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Sosa

Abstract: Resource management strategies for many-core systems dictate the sharing of resources among applications such as power, processing cores, and memory bandwidth in order to achieve system goals. System goals require consideration of both system constraints (e.g., power envelope) and user demands (e.g., response time, energyefficiency). Existing approaches use heuristics, control theory, and machine learning for resource management. They all depend on static system models, requiring a priori knowledge of system d… Show more

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Cited by 32 publications
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