[PDF][PDF] A scored non-deterministic finite automata processor for sequence alignment
R Karbowniczak, R Karakchi - arXiv preprint arXiv …, 2024 - sc24.supercomputing.org
1 Extended Abstract With the rapid expansion of symbolic data in fields such as internet
data, biological data, and financial data, the need for efficient pattern matching and regular …
data, biological data, and financial data, the need for efficient pattern matching and regular …
Optimizing Sequence Alignment with Scored NFAs
R Karbowniczak, R Karakchi - arXiv preprint arXiv:2501.02162, 2025 - arxiv.org
The rapid increase in symbolic data has underscored the significance of pattern matching
and regular expression processing. While nondeterministic finite automata (NFA) are …
and regular expression processing. While nondeterministic finite automata (NFA) are …
Developing a Self-Explanatory Transformer
R Karakchi, R Karbowniczak - 2024 IEEE/ACM Symposium on …, 2024 - ieeexplore.ieee.org
While IoT devices provide significant benefits, their rapid growth results in larger data
volumes, increased complexity, and higher security risks. To manage these issues …
volumes, increased complexity, and higher security risks. To manage these issues …
A Hierarchical BRAM/URAM Buffer for SNN
R Karakchi - 2024 IEEE 3rd International Conference on …, 2024 - ieeexplore.ieee.org
Applications such facial recognition, social networking and automated translation are well-
known by their exponential growth in size and level of complexity. Such applications are the …
known by their exponential growth in size and level of complexity. Such applications are the …
A Scored Non-Deterministic Finite Automata Processor for Sequence Alignment
RKR Karakchi - arXiv preprint arXiv:2410.19758, 2024 - arxiv.org
The rapid growth of symbolic data in areas like internet, biological, and financial data has
increased the demand for efficient pattern matching and regular expression processing. Non …
increased the demand for efficient pattern matching and regular expression processing. Non …