An efficient framework for accelerating Needleman-Wunsch algorithm using GPU.
Hamza NadimMohamed AssalAbdel Fatah A. HegazyPublished in: Int. J. Bioinform. Res. Appl. (2021)
Keyphrases
- high accuracy
- parallel implementation
- improved algorithm
- objective function
- k means
- learning algorithm
- theoretical analysis
- computationally efficient
- probabilistic model
- preprocessing
- computational complexity
- real time
- np hard
- experimental evaluation
- cost function
- optimization algorithm
- detection algorithm
- computational cost
- clustering method
- matching algorithm
- significant improvement
- input data
- segmentation algorithm
- optimal solution
- gpu implementation