Fakulta informačních technologií VUT v Brně

Publikace

  • 2018

    NIKL Vojtěch, ŘÍHA Lubomír, VYSOCKÝ Ondřej a ZAPLETAL Jan. Optimal Hardware Parameters Prediction for Best Energy-to-Solution of Sparse Matrix Operations Using Machine Learning Techniques. In: INFOCOMP 2018. The Eighth International Conference on Advanced Communications and Computation. Barcelona: Mezinárodní asociace univerzit, výzkumu a průmyslu, 2018, s. 43-48. ISBN 978-1-61208-655-2.
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  • 2017

    VYSOCKÝ Ondřej, BESEDA Martin, ŘÍHA Lubomír, ZAPLETAL Jan, NIKL Vojtěch, LYSAGHT Michael a KANNAN Venkatesh. Evaluation of the HPC Applications Dynamic Behavior in Terms of Energy Consumption. In: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING. Civil-Comp Proceedings. Stirlingshire: Civil-Comp Press, 2017, s. 30-49. ISBN 978-1-905088-66-9.
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    NIKL Vojtěch, HRADECKÝ Michal, JAROŠ Jiří a KELEČÉNI Jakub. The investigation of the ARMv7 and Intel Haswell architectures suitability for performance and energy-aware computing. In: High Performance Computing. Lecture Notes in Computer Science, roč. 10226. Cham: Springer International Publishing, 2017, s. 377-393. ISBN 978-3-319-58667-0.
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  • 2016

    NIKL Vojtěch. High Performance Computing on Low Power Devices. In: Computer achitectures and diagnostics 2016. Brno: Fakulta informačních technologií VUT v Brně, 2016, s. 81-84. ISBN 978-80-214-5376-0.
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  • 2015

    NIKL Vojtěch. High Performance Computing on Low Power Devices. In: Počítačové architektury a diagnostika 2015. Zlín: Fakulta aplikované informatiky, Univerzita Tomáše Bati ve Zlíně, 2015, s. 37-41. ISBN 978-80-7454-522-1.
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    JAROŠ Jiří, NIKL Vojtěch a TREEBY Bradley E. Large-scale Ultrasound Simulations Using the Hybrid OpenMP/MPI Decomposition. In: Proceedings of the 3rd International Conference on Exascale Applications and Software. Edinburgh: Association for Computing Machinery, 2015, s. 115-119. ISBN 978-0-9926615-1-9.
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  • 2014

    NIKL Vojtěch a JAROŠ Jiří. Parallelisation of the 3D Fast Fourier Transform Using the Hybrid OpenMP/MPI Decomposition. In: Mathematical and Engineering Methods in Computer Science. Lecture Notes in Computer Science, roč. 8934. Heidelberg: Springer International Publishing, 2014, s. 100-112. ISBN 978-3-319-14895-3.
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