The study course covers the theoretical and practical principles of massively parallel high-performance computing that are implemented in a unified framework of multiprocessor systems and specialized software environment. The study course includes an overview of types of high-performance computing hardware and software architecture, computing algorithms, application libraries and tools. A special attention is devoted to interdisciplinary applied application of the parallel computing platform CUDA based on graphical processing units for big data analysis, image processing, dynamical system modelling etc. Alongside the acquisition of theoretical knowledge during the lessons, the laboratory classes offer students the opportunities to gain practical skills in development of information technology solutions using CUDA technology.