Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Grochol:2018:AHS,

• author = "David Grochol and Lukas Sekanina",
• booktitle = "2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)",
• title = "Fast Reconfigurable Hash Functions for Network Flow Hashing in FPGAs",
• year = "2018",
• pages = "257--263",
• abstract = "Efficient monitoring of high speed computer networks operating with a 100 Gigabit per second (Gbps) data throughput requires a suitable hardware acceleration of its key components. We present a platform capable of automated designing of hash functions suitable for network flow hashing. The platform employs a multi-objective linear genetic programming developed for the hash function design. We evolved high-quality hash functions and implemented them in a field programmable gate array (FPGA). Several evolved hash functions were combined together in order to form a new reconfigurable hash function. The proposed reconfigurable design significantly reduces the area on a chip while the maximum operation frequency remains very close to the fastest hash functions. Properties of evolved hash functions were compared with the state-of-the-art hash functions in terms of the quality of hashing, area and operation frequency in the FPGA.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/AHS.2018.8541401",
• ISSN = "2471-769X",
• month = aug,
• notes = "Also known as \cite{8541401}",

}

Genetic Programming entries for David Grochol Lukas Sekanina

Citations