Department of Parallel Computational Methods and Algorithms
Leader: RNDr. Ján Glasa, CSc.
Deputy: RNDr. Vladimír Britaňák, DrSc.
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Basic and applied research of the department concentrates on the following areas:

Basic and applied research in the area of computer simulation of fires:

  • Computer simulation of passenger car fires
    • experimental tests of spread of passenger car fires in open air and in close spaces; course of passenger car fire and its spread to adjacent vehicles in open air and in closed spaces
    • computer simulation of passenger car fire and spread of fire to adjacent vehicles created using the data obtained from experiments
    • computer simulation of smoke propagation during fires in transportation structures (road tunnels and car parks)
  • Computer simulation of fire spread and their effects in various environments
  • Use of high performance computing infrastructure for computer fire simulation
    • parallelization of calculation and its impact on efficiency and precision of simulation
    • efficient realization of computer fire simulation on computer clusters
  • Computer modeling of forest fire propagation and fires in wildland-urban interface
    • models, principles, computational methods and procedures of forecasting of front fireline in given environment and conditions
    • use of program systems and databases allowing to model the fireline propagation in given 3D environment and given conditions and terrain

Basic research in the area of theory of fast algorithms for the computation of discrete sinusoidal unitary transforms and perfect reconstruction cosine- and sine-modulated filter banks:

  • Discrete sinusoidal unitary transforms
    generalized discrete Fourier transform (GDFT), generalized discrete Hartley transform (GDHT), or equivalently generalized discrete W transform (GDWT), various versions of the discrete cosine and sine transform (DCT/DST) known also as the discrete trigonometric transforms: general mathematical properties, fast algorithms, matrix factorizations and integer approximations for their efficient implementations for the lossless transform-based coding of digital signals
  • Perfect reconstruction cosine- and sine-modulated filter banks
    modified discrete cosine/sine transforms (MDCTs/MDSTs), or equivalently modulated lapped transforms (MLTs), and modulated complex lapped transform (MCLT): general mathematical properties, fast algorithms, matrix factorizations and integer approximations for their efficient implementations in lossless sub-band coding of digital audio signals