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Abstract
In the paper we focus on analysis of performance and power consumption statistics for two modern environments used for computing – volunteer and cluster based systems. The former integrate computational power donated by volunteers from their own locations, often towards social oriented or targeted initiatives, be it of medical, mathematical or space nature. The latter is meant for high performance computing and is typically installed in a dedicated computing centre. While volunteer systems allow to obtain high computing power, they are not meant for dense computations and do not feature state-of-the-art hardware. Clusters offer best of the best at the cost of high purchase and maintenance cost. In the paper we give computational efficiency statistics for Atlas@Home, Asteroids@Home and BOINC cross-project and compare these to clusters such as Cray XC30, SuperMUC and TRYTON.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Parallel Processing and Applied Mathematics, Part II strony 66 - 74
- ISSN:
- 0302-9743
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Czarnul P., Matuszek M..: Considerations of Computational Efficiency in Volunteer and Cluster Computing, W: Parallel Processing and Applied Mathematics, Part II, 2016, Springer International Publishing ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-32152-3
- Verified by:
- Gdańsk University of Technology
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