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Detail publikace
DOBAI, R. KOŘENEK, J.
Originální název
Evolution of Non-Cryptographic Hash Function Pairs for FPGA-Based Network Applications
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
High-speed computer networks require rapid packet processing which can be ensured by implementing network applications in field programmable gate arrays (FPGAs). Many network applications require fast lookup in hash tables. It is important to use such hash functions for these tables which utilize efficiently the limited memory resources of FPGAs. Cuckoo hashing improves this utilization by using more hash functions simultaneously. However, there is no known approach for selecting those functions which together produce the best results. Bio-inspired methods are used in this paper for evolving hash function pairs for FPGA-based network applications. The evolved hash functions are based on linear and non-linear feedback shift registers and can be efficiently implemented in FPGAs. The experiments were aimed at hashing of Internet Protocol addresses and it was shown that evolved solutions can achieve better table load factor in comparison with human-created solutions.
Klíčová slova
Hash function, cuckoo hash, evolution, feedback shift register, evolvable hardware.
Autoři
DOBAI, R.; KOŘENEK, J.
Rok RIV
2015
Vydáno
7. 12. 2015
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Cape Town
ISBN
978-1-4799-7560-0
Kniha
2015 IEEE Symposium Series on Computational Intelligence
Strany od
1214
Strany do
1219
Strany počet
6
URL
http://dx.doi.org/10.1109/SSCI.2015.174
BibTex
@inproceedings{BUT119877, author="Roland {Dobai} and Jan {Kořenek}", title="Evolution of Non-Cryptographic Hash Function Pairs for FPGA-Based Network Applications", booktitle="2015 IEEE Symposium Series on Computational Intelligence", year="2015", pages="1214--1219", publisher="Institute of Electrical and Electronics Engineers", address="Cape Town", doi="10.1109/SSCI.2015.174", isbn="978-1-4799-7560-0", url="http://dx.doi.org/10.1109/SSCI.2015.174" }