1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2024
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
Seongyeon Park, Junguk Hong, Jaeyong Song +3
With the advance in genome sequencing technology, the lengths of deoxyribonucleic acid (DNA) sequencing results are rapidly increasing at lower prices than ever. However, the longe…
cs.DB2023★ 1 cited
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs
Seongyeon Park, Hajin Kim, Tanveer Ahmad +5
Sequence alignment forms an important backbone in many sequencing applications. A commonly used strategy for sequence alignment is an approximate string matching with a two-dimensi…