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Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors.

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Title: Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors.
Authors: Sikal, Mohammed Bakr1, bakr.sikal@kit.edu, González-Gómez;, Jeferson1,2, jeferson.gonzalez@kit.edu, Khdr, Heba1, heba.khdr@kit.edu, Henkel, Jörg1, henkel@kit.edu
Source: DAC: Annual ACM/IEEE Design Automation Conference; 2025, Issue 62, p1-7, 7p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 193986299
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PubType: Conference
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  Data: <searchLink fieldCode="JN" term="%22DAC%3A+Annual+ACM%2FIEEE+Design+Automation+Conference%22">DAC: Annual ACM/IEEE Design Automation Conference</searchLink>; 2025, Issue 62, p1-7, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193986299
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        Value: 10.1109/DAC63849.2025.11132825
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      – Code: eng
        Text: English
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      – TitleFull: Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors.
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              Text: 2025
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              Y: 2025
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              Value: 62
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