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• W2429898963 abstract "To foster the energy-efficiency in current and future multi-core processors, the benefits and trade-offs of a large set of optimization solutions must be evaluated. For this purpose, it is often crucial to consider how key micro-architecture aspects, such as accessing different memory levels and functional units, affect the attainable power and energy consumption. To ease this process, we propose a set of insightful cache-aware models to characterize the upper-bounds for power, energy and energy-efficiency of modern multi-cores in three different domains of the processor chip: cores, uncore and package. The practical importance of the proposed models is illustrated when optimizing matrix multiplication and deriving a set of power envelopes and energy-efficiency ranges of the micro-architecture for different operating frequencies. The proposed models are experimentally validated on a computing platform with a quad-core Intel 3770K processor by using hardware counters, on-chip power monitoring facilities and assembly micro-benchmarks." @default.
• W2429898963 created "2016-06-24" @default.
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• W2429898963 date "2017-01-01" @default.
• W2429898963 modified "2023-10-09" @default.
• W2429898963 title "Beyond the Roofline: Cache-Aware Power and Energy-Efficiency Modeling for Multi-Cores" @default.
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• W2429898963 doi "https://doi.org/10.1109/tc.2016.2582151" @default.
• W2429898963 hasPublicationYear "2017" @default.
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