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 |
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01.10.2019
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| Abstract | 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 applications while running. To effectively alleviate this concern, scientists have appealed to use machine learning techniques for HPC monitoring and diagnosis. This work focuses on the employment of Gath-Geva clustering algorithm to identify applications and their behavioural similarities while running on HPC system. The choice of this algorithm is based on its ability to be adapted to data structures of arbitrarily shaped, sized and dense data. |
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| AbstractList | 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 applications while running. To effectively alleviate this concern, scientists have appealed to use machine learning techniques for HPC monitoring and diagnosis. This work focuses on the employment of Gath-Geva clustering algorithm to identify applications and their behavioural similarities while running on HPC system. The choice of this algorithm is based on its ability to be adapted to data structures of arbitrarily shaped, sized and dense data. |
| Author | Gualous, Hamid Sabor, Jalal El Motaki, Saloua Yahyaouy, Ali |
| Author_xml | – sequence: 1 givenname: Saloua surname: El Motaki fullname: El Motaki, Saloua email: saloua.ehnotaki@usmba.ac.ma organization: University Sidi Mohamed Ben Abdellah,LIIAN Laboratory, Computer Science depart., FSDM,Fez,Morocco – sequence: 2 givenname: Ali surname: Yahyaouy fullname: Yahyaouy, Ali email: ayahyaouy@yahoo.fr organization: University Sidi Mohamed Ben Abdellah,LIIAN Laboratory, Computer Science depart., FSDM,Fez,Morocco – sequence: 3 givenname: Hamid surname: Gualous fullname: Gualous, Hamid email: hamid.gualous@unicaen.fr organization: University of Caen Normandy,Applied Sciences Laboratory,Caen,France – sequence: 4 givenname: Jalal surname: Sabor fullname: Sabor, Jalal email: j.sabor@ensam.umi.ac.ma organization: ENSAM-Engineering School CP2S Laboratory,Meknes,Morocco |
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| Snippet | Supercomputer is a fundamental means to perform complex and huge computations. Simultaneously, it is one of the most energy consuming infrastructures. The... |
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| SubjectTerms | Application identification Clustering algorithms Gath-Geva clustering HPC Machine learning algorithms Measurement Monitoring Partitioning algorithms Quality of service Resilience Resource management Shape Supercomputer Supercomputers |
| Title | Gath-Geva clustering algorithm for high performance computing (HPC) monitoring |
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