CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA.
Zejun ZhengThuy-Diem NguyenBertil SchmidtPublished in: PRIB (2011)
Keyphrases
- general purpose
- parallel implementation
- gpu accelerated
- parallel computing
- gpu implementation
- synthetic datasets
- times faster
- rna secondary structure prediction
- data sets
- graphics processors
- uci machine learning repository
- graphics hardware
- parallel computation
- raw data
- benchmark datasets
- video sequences
- training data