About the Journal

The journal "High-performance computing systems and technologies" publishes the theoretical and applied results in the scientific area "Informatics and computer technics". The main sections (partitions) of the journal are:

  1. Multi-processor computing systems, multi-core processors and programmable logic structures, digital signal processing.
  2. Parallel programming and computer simulation of processes and phenomena in natural science with using of parallel computing.
  3. Robotics, control automation, production automation and automation of scientific experiment.

The first section is devoted to the development of the multi-processor computing systems and of electronic equipment using digital signal processors, multi-core processors, FPGAs and includes the following main topics:

  • 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.

The second section is devoted to the development of parallel programming technologies using multiprocessor computer systems and their application in simulation tasks of complex technical systems and processes in the natural sciences. The section includes the following main topics:

  • 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 (quantum mechanical calculations, thermodynamic methods of Monte Carlo and molecular dynamics to calculate the cluster structures and parallel algorithms for visualization, methods of virtual computer-aided design and modeling in biomedical engineering and et al.);
  • High-performance simulation of chemical and physical processes: computational hydrodynamics and gas dynamics, nonlinear and fast processes of combustion and synthesis of materials, processes propagation of radio waves in spatially inhomogeneous media and et al.

The third section is devoted to the development and creation of intelligent measuring and robotics complexes used for the automation of technological processes and scientific experiment, the creation of problem-oriented intellectual research laboratories using ICT, multimedia and telecommunications for carrying out a complex computing experiment and educational process. The section includes the following main topics:

  • Robotics and artificial intelligence systems: expert systems with intellectual machine of aims, development of neural networks, machine learning, pattern recognition, Big-Data analysis;
  • Control automation and mechatronics: optimal automatic control systems, development, creation, implementation and operation of mechatronic systems and technologies in machine-building, robotics, aerospace, biomedical and household appliances;
  • Production control automation: automated industrial management systems (APMS) and automated production control system (APCS) using the virtual intelligent devices and systems (high-speed intelligent video cameras, virtual microscopes in nanotechnology, etc.);
  • Scientific experiment automation: development, creation and implementation in the scientific experiment technique of a virtual intelligent measuring instrumental complexes based on optoelectronics, nanoelectronics, information-measuring equipment (high-speed intelligent video cameras, virtual microscopes in nanotechnology, etc.);
  • Problem-oriented intellectual research laboratories with a high degree of integration of interdisciplinary methods and computerized instrumental systems (as the most efficient organizational structure for the automation of physical and computational experiment in material science);
    • The use of ICT, multimedia and telecommunication facilities in the educational process.

A article journal, published biannually in June and December.