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  4. A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers
 
conference paper

A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers

Iranfar, Arman  
•
Silva De Souza, Wellington
•
Zapater Sancho, Marina  
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2019
2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)
27th IFIP/IEEE International Conference on Very Large Scale Integration
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Type
conference paper
DOI
10.1109/VLSI-SoC.2019.8920309
Author(s)
Iranfar, Arman  
Silva De Souza, Wellington
Zapater Sancho, Marina  
Olcoz, Katzalin
Xavier de Souza, Samuel
Atienza Alonso, David  
Date Issued

2019

Published in
2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC)
Total of pages

6

Start page

211

End page

216

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ESL  
Event nameEvent placeEvent date
27th IFIP/IEEE International Conference on Very Large Scale Integration

Cuzco, Peru

October 6-9, 2019

Available on Infoscience
July 3, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/158760
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