CAMA: Energy and memory efficient automata processing in content-addressable memories

Y Huang, Z Chen, D Li, K Yang - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Accelerating finite automata processing is critical for advancing real-time analytic in pattern
matching, data mining, bioinformatics, intrusion detection, and machine learning. Recent in …
被引用次数：5 相关文章

CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories

Y Huang, Z Chen, D Li, K Yang - 2022 IEEE International Symposium …, 2022 - computer.org
Accelerating finite automata processing is critical for advancing real-time analytic in pattern
matching, data mining, bioinformatics, intrusion detection, and machine learning. Recent in …

CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories

Y Huang, Z Chen, D Li, K Yang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Accelerating finite automata processing is critical for advancing real-time analytic in pattern
matching, data mining, bioinformatics, intrusion detection, and machine learning. Recent in …

CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories

Y Huang, Z Chen, D Li, K Yang - arXiv preprint arXiv:2112.00267, 2021 - arxiv.org
Accelerating finite automata processing is critical for advancing real-time analytic in pattern
matching, data mining, bioinformatics, intrusion detection, and machine learning. Recent in …