The purpose of the laboratory is to develop alternative methods for executing parallel programs in order to reduce resource consumption in artificial intelligence projects. We focus on two main areas: breaking down large operations into smaller, more manageable subtasks, and planning the order in which these subtasks should be executed on available hardware resources. The lab develops its own machine learning framework NNTile.