International scientific conference
Parallel Computational Technologies 2023

Conference scope
Русский | English

The scope of the conference includes, but not limited to, the following topics:

  • Parallel and distributed computing technologies. Universal high-level languages and libraries for parallel programming. Methods, algorithms and tools for analysis, debugging and optimization of parallel programs.

  • Cloud computing. Universal technologies and cloud engineering systems. Cloud systems middleware. Cloud computing economics.

  • Prospective multiprocessor architectures. Reconfigurable and hybrid multiprocessor systems. Emerging multiprocessor architectures. Multiprocessor systems with multicore accelerators. Modeling, development and testing of new hardware architectures for high performance computing.

  • Big data and data mining. Parallel and distributed methods of big data processing. Data mining on multicore and multiprocessor systems.

  • Artificial neural networks and deep learning. Parallel methods and algorithms for learning deep neural networks.

  • Management, administration, monitoring and testing of multiprocessor systems. Methods, algorithms and tools of management, administration and monitoring of multiprocessor systems. Parallel storage systems. Testing methods development for performance evaluating of multiprocessor systems.

  • Computational Mathematics. Solution of computationally intensive mathematical problems using multiprocessor computer systems. Use of multiprocessor systems for solving problems in mathematical economics and optimization.

  • Computational Physics. High-performance modeling of physical processes.

  • Computational Chemistry. High-performance modeling of chemical processes.

  • Gas Hydrodynamics and heat transfer. Theory and practice of solving problems of computational gas hydrodynamics on supercomputers and distributed computing environments.

  • High nonlinear and rapid processes in mechanics. Use of supercomputer technology to analyze high nonlinear and rapid processes in solid and liquid mechanics.

  • Bioinformatics and medicine. High-performance computing in bioinformatics, bioengineering and medicine.

  • Nanotechnology. High-performance computing in nanocomposites modeling.

  • Geoinformatics. Use of supercomputer technologies in geoinformatics, including climate process modeling and solving ecological problems.

  • Cryptography. Parallel methods and algorithms of encryption and protection confidentiality and authenticity of information.

  • Image processing and visualization. Parallel methods and algorithms for image processing and visualization of results of scientific computing.

  • Computer algebra. Parallel methods and algorithms for symbolic computation.

  • Supercomputer SEC. Experience in establishing scientific-educational centers that focus on popularization and implementation of supercomputer technology in education, science and technology. Methods of teaching parallel computing technologies.