Ing.
David Grochol
Ph.D.
Bývalý člen
Publikace
-
2020
GROCHOL, D.; SEKANINA, L. Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing. In IEEE Congress on Evolutionary Computation. Los Alamitos: IEEE Computational Intelligence Society, 2020.
p. 1-8. ISBN: 978-1-7281-6929-3. Detail -
2018
GROCHOL, D.; SEKANINA, L. 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.
p. 257-263. ISBN: 978-1-5386-7753-7. DetailGROCHOL, D.; SEKANINA, L. Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions. In European Conference on Genetic Programming. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2018.
p. 187-202. ISBN: 978-3-319-77553-1. Detail -
2017
GROCHOL, D.; SEKANINA, L. 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.
p. 64-76. ISBN: 978-3-319-58088-3. DetailGROCHOL, D.; SEKANINA, L. 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.
p. 1533-1540. ISBN: 978-1-5090-4600-3. Detail -
2016
GROCHOL, D. Evoluční hardware v síťových aplikacích. Počítačové architektury a diagnostika PAD 2016. Bořetice: Fakulta informačních technologií VUT v Brně, 2016.
s. 57-60. ISBN: 978-80-214-5376-0. DetailGROCHOL, D.; SEKANINA, L. 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.
p. 901-908. ISBN: 978-1-4503-4206-3. DetailGROCHOL, D.; SEKANINA, L.; KOŘENEK, J.; ŽÁDNÍK, M.; KOŠAŘ, V. Evolutionary Circuit Design for Fast FPGA-Based Classification of Network Application Protocols. APPLIED SOFT COMPUTING, 2016, vol. 38, no. 1,
p. 933-941. ISSN: 1568-4946. Detail -
2015
GROCHOL, D.; SEKANINA, L.; ŽÁDNÍK, M.; KOŘENEK, J. A Fast FPGA-Based Classification of Application Protocols Optimized Using Cartesian GP. In Applications of Evolutionary Computation, 18th European Conference. Lecture Notes in Computer Science. Berlin: Springer International Publishing, 2015.
p. 67-78. ISBN: 978-3-319-16548-6. Detail