Ing. David Grochol


2018GROCHOL David and SEKANINA Lukáš. Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs. In: Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems. Edinburgh: Institute of Electrical and Electronics Engineers, 2018, pp. 257-263. ISBN 978-1-5386-7753-7.
 GROCHOL David and SEKANINA Lukáš. Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions. In: European Conference on Genetic Programming. Berlin: Springer International Publishing, 2018, pp. 187-202. ISBN 978-3-319-77553-1.
2017GROCHOL David and SEKANINA Lukáš. Comparison of Parallel Linear Genetic Programming Implementations. In: Recent Advances in Soft Computing: Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016) held in Brno, Czech Republic, at June 8-10, 2016. Cham: Springer International Publishing, 2017, pp. 64-76. ISBN 978-3-319-58088-3.
 GROCHOL David and SEKANINA Lukáš. Multiobjective Evolution of Hash Functions for High Speed Networks. In: Proceedings of the 2017 IEEE Congress on Evolutionary Computation. San Sebastian: IEEE Computer Society, 2017, pp. 1533-1540. ISBN 978-1-5090-4600-3.
2016GROCHOL David and SEKANINA Lukáš. Evolutionary Design of Fast High-quality Hash Functions for Network Applications. In: GECCO '16 Proceedings of the 2016 on Genetic and Evolutionary Computation Conference. New York, NY: Association for Computing Machinery, 2016, pp. 901-908. ISBN 978-1-4503-4206-3.
 GROCHOL David, SEKANINA Lukáš, KOŘENEK Jan, ŽÁDNÍK Martin and KOŠAŘ Vlastimil. Evolutionary Circuit Design for Fast FPGA-Based Classification of Network Application Protocols. Applied Soft Computing. Amsterdam: Elsevier Science, 2016, vol. 38, no. 1, pp. 933-941. ISSN 1568-4946.
 GROCHOL David. Evoluční hardware v síťových aplikacích. In: Počítačové architektury a diagnostika PAD 2016. Bořetice: Faculty of Information Technology BUT, 2016, pp. 57-60. ISBN 978-80-214-5376-0.
2015GROCHOL David, SEKANINA Lukáš, ŽÁDNÍK Martin and KOŘENEK Jan. A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP. In: Applications of Evolutionary Computation, 18th European Conference. Berlin: Springer International Publishing, 2015, pp. 67-78. ISBN 978-3-319-16548-6.

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