Abstract
The article is aimed at researching problems of scientific data visualization system optimization in order to formulate an approach to their effective solution concerning the application on high-performance multiprocessor computers. A single-processor version of a ScientificVR® (SVR) visualization package with a set of different types of visualization, which can be well used for processing data obtained through simulation using distributed computer systems, is presented. An approach to the SVR scientific data visualization system optimization to provide the ability to be applicable on multiprocessor computers with the most efficient and flexible performance is proposed.
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