FIELD: computer engineering.
SUBSTANCE: method performed in steps as follows: transformation using the display functions of the source data into a set of list data structures; determine the number of cores on the GPU that can run workflows; data transfer from video memory to central memory; running multiple worker processes on multiple GPU cores; obtaining data for the operation of each of the processes using the function of splitting the initial data; running application steps in workflows; receiving the results of the steps in the video memory; transferring data from video memory to the main process; combining the results of the work of many processes into a single knowledge model.
EFFECT: expansion of the class of methods for parallelizing programs that implement data mining algorithms.
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