Gath-Geva clustering algorithm for high performance computing (HPC) monitoring

Supercomputer is a fundamental means to perform complex and huge computations. Simultaneously, it is one of the most energy consuming infrastructures. The diversity of applications executed within a HPC system makes it difficult to control resource utilization and identify the behaviour of these app...

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Veröffentlicht in:	2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) S. 1 - 6
Hauptverfasser:	El Motaki, Saloua, Yahyaouy, Ali, Gualous, Hamid, Sabor, Jalal
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2019
Schlagworte:	Application identification Clustering algorithms Gath-Geva clustering HPC Machine learning algorithms Measurement Monitoring Partitioning algorithms Quality of service Resilience Resource management Shape Supercomputer Supercomputers
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