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Title:

Fine-Grained Power Modeling of Multicore Processors Using FFNNs

Document type:
Zeitschriftenaufsatz
Author(s):
Sagi, Mark ; Vu Doan, Nguyen Anh ; Fasfous, Nael ; Wild, Thomas ; Herkersdorf, Andreas
Keywords:
Article ; Processor ; Multicore ; Power ; Modeling ; Estimation ; Core-level ; Artificial neural network ; ANN ; FFNN ; Accuracy ; Error ; Overhead ; Multi-objective-optimization ; NSGA-II ; Information and Computing Sciences
Journal title:
International Journal of Parallel Programming
Year:
2022
Journal volume:
50
Journal issue:
2
Pages contribution:
243-266
Fulltext / DOI:
doi:10.1007/s10766-022-00730-9
Publisher:
Springer US
E-ISSN:
0885-7458 ; 1573-7640
Date of publication:
29.03.2022
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