Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors (English)
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In:
LIPIcs, Volume 231, ECRTS 2022
: 34th Euromicro Conference on Real-Time Systems (ECRTS 2022)
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231
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4:1-4:25
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2022
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Using Quantile Regression in Neural Networks for Contention Prediction in Multicore Processors
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Contributors:Brando, Axel ( author ) / Serra, Isabel ( author ) / Mezzetti, Enrico ( author ) / Abella, Jaume ( author ) / Cazorla, Francisco J. ( author ) / Maggio, Martina ( editor )
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Published in:LIPIcs, Volume 231, ECRTS 2022 : 34th Euromicro Conference on Real-Time Systems (ECRTS 2022) ; 231 ; 4:1-4:25Leibniz International Proceedings in Informatics (LIPIcs) ; 231 ; 4:1-4:25
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Publisher:
- New search for: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
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Publication date:2022-06-28
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Size:25 pages , 5510716 byte
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Remarks:LIPIcs, Vol. 231, 34th Euromicro Conference on Real-Time Systems (ECRTS 2022), pages 4:1-4:25
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ISBN:
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ISSN:
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Licence:
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Source:
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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- 4
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Using Quantile Regression in Neural Networks for Contention Prediction in Multicore ProcessorsBrando, Axel / Serra, Isabel / Mezzetti, Enrico / Abella, Jaume / Cazorla, Francisco J. et al. | 2022
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