Abstract: This article considers results of performance test of experimental model of cluster hybrid computing system based on GPU accelerators in Linpack. It was created six variants of configuration of cluster system. These variants differ from each other by count of nodes, GPU accelerators in each node and amount of random access memory. It was carried out qualitative analysis of test results using approximation methods. As a result it was created simulation model for determination of dependence of real performance (Tflops) of cluster system on count GPU accelerators in the node. The simulation model allows to estimate optimal value of cost-performance ratio in dependence on characteristics of electronic components of cluster computing system.

• Publication Date: 03-Aug-2014
• DOI: 10.15224/978-1-63248-005-7-37
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Abstract: In this paper we extend on our earlier work utilizing maximum consecutive success as a measure used in the context of testing motor skills, for children with physical and neurological impairment. Here we verify a change in the “ceiling” of performance that takes place as the cognitive load is increased. In the results we see two groups establish themselves in terms of the ones capable of achieving the test objectives and the ones that engage but are not successful. In this study, we compare results for two different tests, one of motor skills and the second of categorization assessment and find agreement between the two using our approach. Working on our main hypothesis that it is possible to provide better fit of devices to PNI children, the results provide initial suggestions that cognitive test success depend on a combination of motor skill and cognitive ability which is not completely separable. Ranking of bio-digital devices ideally need to be done using the target application or

• Publication Date: 03-Aug-2014
• DOI: 10.15224/978-1-63248-005-7-38
• Views: 0
• Downloads: 0