Author:
Sandes Edans Flavius O.,de Melo Alba Cristina M.A.
Cited by
36 articles.
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1. AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20
2. Accelerating the Smith-Waterman algorithm by GPU for high-throughput sequence alignment;2023 International Conference on Mathematics, Intelligent Computing and Machine Learning;2023-12-15
3. A scalable parallel algorithm for global sequence alignment with customizable scoring scheme;Concurrency and Computation: Practice and Experience;2023-08-07
4. GPU acceleration of Levenshtein distance computation between long strings;Parallel Computing;2023-07
5. Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis;2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS);2023-04