1. Multi-processor computing systems, multi-core processors and programmable logic structures, digital signal processing:

• Architecture and design features of the multi-processor computing systems: the experience of their use in computational practice;
• Architecture and design features of the hardware on the basis of FPGA, signal (DSP) and multi-core processors: the experience of their use in computational practice;
• IP-cores for FPGA (interfaces, functional blocks, processor cores): experience with FPGA and DSP, multi-core processors in the learning process;
• The use of accelerators and unconventional architecture computers (GPU, FPGA, etc.) in high-performance computing;
• Processing and synthesis of signals (including radio and audio ranges): the system of encoding-decoding of signals, modulation-demodulation of signals and etc.

2. Parallel programming and computer simulation of processes and phenomena in natural science with using of parallel computing:

• Operating systems and environments, programming technologies, facilities and tools for the design, optimization and debugging parallel applications;
• Technologies of distributed processing and distributed computing using multiprocessor computer systems (multi-core workstations, personal supercomputers and cluster systems);
• GRID-technologies and GRID-systems, cloud computing and services, neuronal network technologies: the experience of their use in computing practice and learning process;
• Parallel methods in cryptography and information security: encryption algorithms and methods to ensure confidentiality and authenticity of information;
• Multi-scale predictive computer simulation in electronics, physics and chemistry of nanostructured materials and metamaterials using parallel computing;
• High-performance simulation of chemical and physical processes.