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1 Ergebnisse
1
AGAThA: Fast and Efficient GPU Acceleration of Guided Seque..:
, In:
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
,
Park, Seongyeon
;
Hong, Junguk
;
Song, Jaeyong
... - p. 431-444 , 2024
Link:
https://dl.acm.org/doi/10.1145/3627535.3638474
RT T1 <cTitle>Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming</cTitle>: T1 <Title>AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3638474&Exemplar=1&LAN=DE A1 Park, Seongyeon A1 Hong, Junguk A1 Song, Jaeyong A1 Kim, Hajin A1 Kim, Youngsok A1 Lee, Jinho PB ACM YR 2024 K1 GPU acceleration K1 genome sequence alignment K1 long reads K1 dynamic programming K1 Computer systems organization K1 Architectures K1 Parallel architectures K1 Computing methodologies K1 Parallel computing methodologies K1 Parallel algorithms K1 Applied computing K1 Life and medical sciences K1 Genomics SP 431 OP 444 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627535.3638474 DO https://dl.acm.org/doi/10.1145/3627535.3638474 SF ELIB - SuUB Bremen
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