International scientific conference
Parallel Computational Technologies 2014

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.

  • Parallel and distributed database systems. Development of parallel and distributed database management systems (DBMS) for multiprocessor (multicore) and distributed computing systems. Methods and algorithms of parallel database processing. High performance data mining.

  • Management, administration, monitoring and testing of multiprocessor systems. Methods, algorithms and tools of management, administration and monitoring of multiprocessor systems. Parallel srorage 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. High-performance computing in bioinformatics and bioengineering.

  • Nanotechnology. High-performance computing in nanocomposites modeling.

  • Climate and ecology. Use of supercomputer technologies in climate process modeling.

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

  • Visualization. Parallel methods and algorithms of visualizing the results of scientific computing. Visualization in Grid environments.

  • 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.