WFA-GPU: gap-affine pairwise read-alignment using GPUs.
Quim Aguado-PuigMax DoblasChristos MatzorosAntonio EspinosaJuan Carlos MoureSantiago Marco-SolaMiquel MoretóPublished in: Bioinform. (2023)
Keyphrases
- pairwise
- graphics processing units
- graphics hardware
- global alignment
- gpu implementation
- sequence alignment
- general purpose
- parallel programming
- graphics processors
- parallel processing
- heterogeneous computing
- gpu accelerated
- parallel implementation
- graphics cards
- real time
- parallel computing
- parallel computation
- similarity measure
- highly parallel
- image alignment
- markov random field
- higher order
- computing systems
- pairwise interactions
- multi class
- semi supervised
- parallel architectures
- cpu implementation
- graph matching
- affine transformation
- compute unified device architecture
- floating point
- computational power
- loss function
- parallel algorithm
- affine invariant
- spectral clustering
- multiple sequence alignment
- image registration
- multiple sequence alignments
- point sets
- commodity hardware
- efficient implementation
- dynamic time warping
- real time rendering
- memory bandwidth
- accurate registration
- statistical significance
- pairwise constraints
- single instruction multiple data
- image sequences