TiReX: Tiled Regular eXpressionsmatching architecture
•
0 gefällt mir•78 views
- Filippo Carloni, M.Sc. student in Computer Science and Engineering Expressions (REs) are widely used to find patterns among data, like in genomic markers research for DNA analysis, signature-based detection for network intrusion detection systems, or search engines. TiReX is a novel and efficient RE matching architecture for FPGAs, based on the concept of matching core. RE passes into the compilation and optimization phase to be efficiently translated into sequences of basic matching instructions that a matching core runs on input data, and can be replaced to change the RE to be matched.
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Ähnlich wie TiReX: Tiled Regular eXpressionsmatching architecture
Ähnlich wie TiReX: Tiled Regular eXpressionsmatching architecture (20)
Mehr von NECST Lab @ Politecnico di Milano
Mehr von NECST Lab @ Politecnico di Milano (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
TiReX: Tiled Regular eXpressionsmatching architecture
- 1. TiReX: Tiled Regular eXpressions matching architecture Virtual NGC - Taverne d’Arbia (SI) July 19, 2020 Filippo Carloni, Davide Conficconi, Alessandro Comodi, Alberto Scolari, Marco Santambrogio {filippo.carloni, alessandro.comodi} @mail.polimi.it, {davide.conficconi, alberto.scolari, marco.santambrogio} @polimi.it
- 3. 3 Context Definition Search Engine Web PagesUsers
- 4. 4 Context Definition Search Engine Web Pages Packets Analysis Accepted Packets Rejected Packets Entering PacketsUsers
- 5. 5 Context Definition Search Engine Web Pages Packets Analysis Accepted Packets Rejected Packets Entering Packets Genetic Market Research Patient DNA Personalized MedicineDNA Analysis Users
- 9. 9 Related Works NFA Directly implemented Fixed architecture relative to one RE Very fast Too Space for the NFA for large RE One character at time for base implementation
- 10. 10 Proposed Solution Customized Instruction Set Architecture (ISA) Custom processor written in VHDL and implemented on a FPGA Multi-core architecture
- 11. 11 Flow of RE Regular Expression Compiler 1 & ACGT 2 JIM offset 3 ( 4 |)* AC 5 & TT ACGTCGGGGCGTGCAAATGCCCCGTGCGATTTGCGTGACGTCGGGGCGTGCAAATGCCCC GTGCGATTTGCGTGACGTCGGGGCGTGCAAATGCCCCGTGCGATTTGCGTGACGTCGGGG CGTGCAAATGCCCCGTGCGATTTGCGTGCGTGCGATTTGCGTGACGTCGGGGCGTGCAAA CGTGCGATTTGCGTGACGTCGGGGCGTGCAAAGCTCGATCGATCGATCGA. Data Instruction Set Match results
- 12. 12 The Compiler Regular Expression Compiler 1 & ACGT 2 JIM offset 3 ( 4 |)* AC 5 & TT Instruction Set (ACGT|AC)*TT 1. Lexical Analyzer 2. Code Transformation 3. Code Optimization
- 14. 14 Board Test 1 Test 2 Test 3 Flex Intel i7, 2.80 GHz Exec. Time [µs] 271 121 263 Speedup 1X 1X 1X Grep (Xeon) Exec. Time [µs] 205 108.11 336.73 Speedup 1.32X 1.11X 0.78X PYNQ-Z1 8-core, 70.5 MHz Exec. Time [µs] 7.2 8.21 30.3 Speedup 37.63X 14.73X 8.67X VC707 16-core, 130.1 MHz Exec. Time [µs] 2.07 4.54 3.36 Speedup 130.9X 26.65X 78.27X VU9P (AWS) 16-core, 202.7 MHz Exec.Time [µs] 1.03 0.75 2.96 Speedup 263.11X 161.33X 88.85X Performance Analysis Latency Dataset Baseline
- 15. 15 Summary Fast Flexible (Customized ISA) Cross-Platform Design Strength Points Multi-core possibility
- 16. 16 Summary Fast Flexible (Customized ISA) Cross-Platform Design Strength Points Multi-core possibility Cover more types of regular expression Fix corner case bugs Work in progress ... Nondeterministic version
- 17. 17 Thank you Questions? Contacts Filippo Carloni, Davide Conficconi, Alessandro Comodi, Alberto Scolari, Marco Santambrogio {filippo.carloni, alessandro.comodi} @mail.polimi.it, {davide.conficconi, alberto.scolari, marco.santambrogio} @polimi.it