Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917436903> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2917436903 endingPage "1212" @default.
- W2917436903 startingPage "1201" @default.
- W2917436903 abstract "In this paper, we study the acceleration of applications that identify all the occurrences of thousands of string-patterns in an input data-stream using the Automata Processor (AP). For this evaluation, we use two applications from two fields, namely, cybersecurity and bioinformatics. The first application, called Fast-SNAP, scans network data for 4312 signatures of intrusion derived from the popular open-source Snort database. Using the resources of a single AP-board, Fast-SNAP can scan for all these signatures at 1 Gbps. The second application, called PROTOMATA, looks for all the occurrences of 1,309 motifs from the PROSITE database in protein sequences. PROTOMATA is up to 68 times faster than the state-of-the-art CPU implementation. As a comparison, we emulate the execution of the same NFAs by programming FPGAs using state-of-the-art techniques. We find that the performance derived by using the resources of a single AP-board, which houses 32 AP-chips, is comparable to that of the resources of five to six large FPGAs. The design techniques used in this paper are generic and may be applicable to the development of similar applications on the AP." @default.
- W2917436903 created "2019-03-02" @default.
- W2917436903 creator A5041520129 @default.
- W2917436903 creator A5042614734 @default.
- W2917436903 creator A5048150213 @default.
- W2917436903 creator A5049358909 @default.
- W2917436903 creator A5059632472 @default.
- W2917436903 creator A5074347913 @default.
- W2917436903 date "2019-08-01" @default.
- W2917436903 modified "2023-09-23" @default.
- W2917436903 title "Evaluating High Performance Pattern Matching on the Automata Processor" @default.
- W2917436903 cites W2008922908 @default.
- W2917436903 cites W2056486650 @default.
- W2917436903 cites W2062949766 @default.
- W2917436903 cites W2067845746 @default.
- W2917436903 cites W2076238443 @default.
- W2917436903 cites W2083826366 @default.
- W2917436903 cites W2087634916 @default.
- W2917436903 cites W2107158607 @default.
- W2917436903 cites W2122820686 @default.
- W2917436903 cites W2125079066 @default.
- W2917436903 cites W2130253098 @default.
- W2917436903 cites W2147025186 @default.
- W2917436903 cites W2149695592 @default.
- W2917436903 cites W2156404949 @default.
- W2917436903 cites W2236895266 @default.
- W2917436903 cites W2507744471 @default.
- W2917436903 cites W2521216558 @default.
- W2917436903 cites W2563334590 @default.
- W2917436903 cites W2618550415 @default.
- W2917436903 cites W2999246549 @default.
- W2917436903 cites W4240018668 @default.
- W2917436903 doi "https://doi.org/10.1109/tc.2019.2901466" @default.
- W2917436903 hasPublicationYear "2019" @default.
- W2917436903 type Work @default.
- W2917436903 sameAs 2917436903 @default.
- W2917436903 citedByCount "3" @default.
- W2917436903 countsByYear W29174369032019 @default.
- W2917436903 countsByYear W29174369032020 @default.
- W2917436903 countsByYear W29174369032022 @default.
- W2917436903 crossrefType "journal-article" @default.
- W2917436903 hasAuthorship W2917436903A5041520129 @default.
- W2917436903 hasAuthorship W2917436903A5042614734 @default.
- W2917436903 hasAuthorship W2917436903A5048150213 @default.
- W2917436903 hasAuthorship W2917436903A5049358909 @default.
- W2917436903 hasAuthorship W2917436903A5059632472 @default.
- W2917436903 hasAuthorship W2917436903A5074347913 @default.
- W2917436903 hasConcept C105795698 @default.
- W2917436903 hasConcept C112505250 @default.
- W2917436903 hasConcept C154945302 @default.
- W2917436903 hasConcept C165064840 @default.
- W2917436903 hasConcept C173608175 @default.
- W2917436903 hasConcept C33923547 @default.
- W2917436903 hasConcept C41008148 @default.
- W2917436903 hasConcept C68859911 @default.
- W2917436903 hasConcept C80444323 @default.
- W2917436903 hasConceptScore W2917436903C105795698 @default.
- W2917436903 hasConceptScore W2917436903C112505250 @default.
- W2917436903 hasConceptScore W2917436903C154945302 @default.
- W2917436903 hasConceptScore W2917436903C165064840 @default.
- W2917436903 hasConceptScore W2917436903C173608175 @default.
- W2917436903 hasConceptScore W2917436903C33923547 @default.
- W2917436903 hasConceptScore W2917436903C41008148 @default.
- W2917436903 hasConceptScore W2917436903C68859911 @default.
- W2917436903 hasConceptScore W2917436903C80444323 @default.
- W2917436903 hasIssue "8" @default.
- W2917436903 hasLocation W29174369031 @default.
- W2917436903 hasOpenAccess W2917436903 @default.
- W2917436903 hasPrimaryLocation W29174369031 @default.
- W2917436903 hasRelatedWork W1489458962 @default.
- W2917436903 hasRelatedWork W1513430197 @default.
- W2917436903 hasRelatedWork W1580001272 @default.
- W2917436903 hasRelatedWork W1978878362 @default.
- W2917436903 hasRelatedWork W2069811640 @default.
- W2917436903 hasRelatedWork W2359597723 @default.
- W2917436903 hasRelatedWork W2387805876 @default.
- W2917436903 hasRelatedWork W2952363982 @default.
- W2917436903 hasRelatedWork W3106225727 @default.
- W2917436903 hasRelatedWork W2604027913 @default.
- W2917436903 hasVolume "68" @default.
- W2917436903 isParatext "false" @default.
- W2917436903 isRetracted "false" @default.
- W2917436903 magId "2917436903" @default.
- W2917436903 workType "article" @default.