This course covers the theoretical and practical principles of massively parallel approach to high-performance computing using multiprocessing systems and/or combination of GPU hardware and specialised software environment. The seminar gives an overview of the types of high-performance computing hardware and software architecture, computing algorithms, application libraries and tools. More attention is paid to the applied interdisciplinary use of GPU-based parallel computing platform CUDA, e.g., analysis of large data amount, image processing, and machine learning tasks. Along with theoretical information, there is also a possibility to acquire basic skills in developing IT solutions using CUDA.