Title | ||
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Accelerating DNA Biometrics in Criminal Investigations Through GPU-Based Pattern Matching. |
Abstract | ||
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With the ever-increasing capabilities of modern hardware and breakthroughs in the DNA biometrics field, we are presenting a new, scalable and innovative method to accelerate the DNA analysis process used in criminal investigations, by building an improved methodology for using large-scale GPU-based automata for performing high-throughput pattern-matching. Our approach focuses on all important stages of preparing for the pattern-matching process, tackling with all major steps, from creation, to preprocessing, to the runtime performance. Finally, we experiment using real-world DNA sequences and apply the process to the human DNA genome, for an evaluation of our implementation. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1007/978-3-319-94120-2_44 | INTERNATIONAL JOINT CONFERENCE SOCO'18-CISIS'18- ICEUTE'18 |
Keywords | Field | DocType |
DNA,Biometrics,Pattern matching,GPGPU,CUDA | Computer science,CUDA,Automaton,Preprocessor,General-purpose computing on graphics processing units,Artificial intelligence,Criminal investigation,Biometrics,Pattern matching,Machine learning,Scalability | Conference |
Volume | ISSN | Citations |
771 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ciprian Pungila | 1 | 11 | 4.51 |
Viorel Negru | 2 | 311 | 47.71 |