Abstract
The paper is devoted to the approach development related to methodology definition for evaluation of the modular multiprocessor computing systems efficiency. At the same time, the main attention is focused on the impact peculiarities on this network interface value. The formation analysis of the multiprocessor system network interface architecture and the basic modes of its operation have been analyzed. To evaluate the processes occurring in the system during the information flows transmission, the network system bandwidth and the switch throughput were compared; which allowed determining the preconditions for optimal components selection of the multiprocessor computing system network interface. The performed researches also allowed deducing analytical relations for determining the optimal number of system nodes with different functioning modes. The selected processors coherency coefficient, network interface and value of the computing area are deduced. The derived analytical relationships also showed that the optimal number of blades in a multiprocessor computing system, that provide its highest speed, decreases with increasing computing power of the processors included. It is shown that the network data interchange among the multiprocessor computing system nodes the more likely to impede the overall computation process; the less time will be spent directly on solving a specific problem.
Highlights
Almost simultaneously with the first multiprocessor computing systems advent, there emerged a need to evaluate their efficiency, performance, speed and later the comparison with similar computing systems, considering the listed criteria
«Системні технології» 3 (134) 2021 «System technologies» One of the main problems of using a multiprocessor computing system to solve such problems considered in this paper can be stated as follows: we have the dimension mesh difference M, the computation time of a problem solved by a singleprocessor system denoted by the t value
It is known that the computations parallelization efficiency essentially depends on many factors; one of the most important is the specificity of the data transfer among adjacent nodes of the multiprocessor computing system, since this is the algorithm slowest part can undo the effect of increasing the processors number used
Summary
Almost simultaneously with the first multiprocessor computing systems advent, there emerged a need to evaluate their efficiency, performance, speed and later the comparison with similar computing systems, considering the listed criteria. The second very important conclusion is that the optimal blades number in the cluster system, which provides its highest speed, decreases with increasing computing power of the processors included in it Such a statement becomes quite clear when one considers that the network data exchange among the cluster system nodes is more likely to impede the overall computation process, the less time will be spent directly on solving a specific problem. One can conclude that the optimal number of blades in the cluster system is capable of providing its highest performance, will depend on the size of the computing area, the switching capabilities and computing power of the processors which the cluster system is composed from These parameters variation allows selecting the appropriate blades number when operating the system in the network interface surplus mode.
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