Abstract
The acquisition of PC clusters is often limited by financial restrictions. A person planning to buy such a cluster must choose between numerous configurations possible due to the large number of different PC components a cluster may be built of. Even if some of the applications that will be run on the planned cluster are known, it is generally difficult if not impossible to identify the one configuration yielding the optimum price/performance ratio for these applications a priori.
In this paper it is demonstrated how to use the newly developed simulation tool Clue to decide which configuration of the components of a cluster yields the best price/performance ratio for a particular software package from computational chemistry. Due to the simulation based approach, even the impact of components available in the future only can be evaluated.
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Kvasnicka, D.F., Hlavacs, H., Ueberhuber, C.W. (2001). Cluster Configuration Aided by Simulation. In: Alexandrov, V.N., Dongarra, J.J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds) Computational Science — ICCS 2001. ICCS 2001. Lecture Notes in Computer Science, vol 2073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45545-0_33
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DOI: https://doi.org/10.1007/3-540-45545-0_33
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