Influence of batch structure on cluster computing performance – complex systems approach

• Autorzy: Dymora P. , Mazurek M. , Strzałka D. , Piękos M.

Identyfikatory

DOI

10.2478/v10065-012-0012-4

• Języki publikacji: EN

Abstrakty

EN

This work presents the problem of clusters computing performance optimization. An assessment of the impact of computing architecture, applications, and communications equipment on the system performance was done. Processing bottlenecks were identified, showing that in order to obtain an optimum usage of computational structure the system should be treated as a complex one in which it is impossible to isolate and optimize each element independently.

Słowa kluczowe

EN

cluster computing; optimization; system performance

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2012
• Tom: Vol. 12, no. 1
• Strony: 57--66
• Opis fizyczny: Bibliogr. 14 poz., rys., taab.

Twórcy

autor

Dymora P.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

autor

Mazurek M.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

autor

Strzałka D.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

autor

Piękos M.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

Bibliografia

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• [6] Yang C. T., Tseng S. S., Hsiao M. C., A Portable paralleling compiler with loop partitioning (1999).
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• [12] ACML; http://developer.amd.com/libraries/acml/pages/default.aspx.
• [13] MKL (Intel®Math Kernel Library); http://software.intel.com/en-us/articles/intel-mkl/.
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