Adaptation of MPDATA heterogeneous stencil computation to Intel Xeon Phi coprocessor L Szustak, K Rojek, T Olas, L Kuczynski, K Halbiniak, P Gepner Scientific Programming, 2015 | 41 | 2015 |

Using Intel Xeon Phi coprocessor to accelerate computations in MPDATA algorithm L Szustak, K Rojek, P Gepner Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 31 | 2014 |

Parallelization of 2D MPDATA EULAG algorithm on hybrid architectures with GPU accelerators R Wyrzykowski, L Szustak, K Rojek Parallel Computing 40 (8), 425-447, 2014 | 30 | 2014 |

Adaptation of fluid model EULAG to graphics processing unit architecture KA Rojek, M Ciznicki, B Rosa, P Kopta, M Kulczewski, K Kurowski, ... Concurrency and Computation: Practice and Experience 27 (4), 937-957, 2015 | 26 | 2015 |

Towards efficient decomposition and parallelization of MPDATA on hybrid CPU-GPU cluster R Wyrzykowski, L Szustak, K Rojek, A Tomas Large-Scale Scientific Computing: 9th International Conference, LSSC 2013 …, 2014 | 21 | 2014 |

Toward efficient distribution of MPDATA stencil computation on Intel MIC architecture L Szustak, K Rojek, R Wyrzykowski, P Gepner Proce. HiStencils 14 (51-56), 2.6, 2014 | 20 | 2014 |

AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing K Rojek, R Wyrzykowski, P Gepner Computational Science–ICCS 2021: 21st International Conference, Krakow …, 2021 | 18 | 2021 |

Systematic adaptation of stencil‐based 3D MPDATA to GPU architectures K Rojek, R Wyrzykowski, L Kuczynski Concurrency and Computation: Practice and Experience 29 (9), e3970, 2017 | 18 | 2017 |

Machine learning method for energy reduction by utilizing dynamic mixed precision on GPU‐based supercomputers K Rojek Concurrency and Computation: Practice and Experience 31 (6), e4644, 2019 | 15 | 2019 |

Energy‐aware mechanism for stencil‐based MPDATA algorithm with constraints K Rojek, A Ilic, R Wyrzykowski, L Sousa Concurrency and Computation: Practice and Experience 29 (8), e4016, 2017 | 14 | 2017 |

Model-driven adaptation of double-precision matrix multiplication to the cell processor architecture R Wyrzykowski, K Rojek, L Szustak Parallel Computing 38 (4-5), 260-276, 2012 | 14 | 2012 |

An study of the effect of process malleability in the energy efficiency on GPU-based clusters S Iserte, K Rojek The Journal of Supercomputing 76, 255-274, 2020 | 13 | 2020 |

Adaptation of Multidimensional Positive Definite Advection Transport Algorithm to modern high-performance computing platforms B Rosa, L Szustak, AA Wyszogrodzki, K Rojek, DK Wójcik, R Wyrzykowski ICEMP, 2015 | 13 | 2015 |

Parallelization of 3D MPDATA algorithm using many graphics processors K Rojek, R Wyrzykowski Parallel Computing Technologies: 13th International Conference, PaCT 2015 …, 2015 | 11 | 2015 |

Performance analysis for stencil-based 3D MPDATA algorithm on GPU architecture K Rojek, L Szustak, R Wyrzykowski Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 11 | 2014 |

Parallelization of EULAG model on multicore architectures with GPU accelerators K Rojek, L Szustak Parallel Processing and Applied Mathematics: 9th International Conference …, 2012 | 11 | 2012 |

Using blue gene/P and GPUs to accelerate computations in the EULAG model R Wyrzykowski, K Rojek, £ Szustak Large-Scale Scientific Computing: 8th International Conference, LSSC 2011 …, 2012 | 11 | 2012 |

Performance and scalability analysis of AI-accelerated CFD simulations across various computing platforms K Rojek, R Wyrzykowski European Conference on Parallel Processing, 223-234, 2022 | 9 | 2022 |

Performance modeling of 3D MPDATA simulations on GPU cluster K Rojek, R Wyrzykowski The Journal of Supercomputing 73 (2), 664–675, 2017 | 8 | 2017 |

CFD code adaptation to the FPGA architecture K Rojek, K Halbiniak, L Kuczynski The International Journal of High Performance Computing Applications 35 (1 …, 2021 | 7 | 2021 |