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AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment
for Long Read Mapping

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming (PPoPP), 2024

11 March 2024

Seong-Yeol Park

ArXiv (abs)PDF HTML Github (22★)

Papers citing "AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping"

1 / 1 papers shown

DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic
Programming Algorithms in Bioinformatics

DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic Programming Algorithms in Bioinformatics

Yatish Turakhia

164

1

0

05 Nov 2024

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