Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Computing on GPU with CUDA and ELLPACK-R Sparse Format.
Alhadi BustamamKevin BurrageNicholas A. HamiltonPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2012)
Keyphrases
- parallel implementation
- parallel computing
- parallel computation
- parallel programming
- compute unified device architecture
- graphics processing units
- parallel processing
- clustering algorithm
- general purpose
- clustering gene expression data
- shared memory
- gpu implementation
- graphics processors
- parallel algorithm
- graphics hardware
- k means
- gpu accelerated
- hierarchical clustering
- data mining
- cluster of workstations
- databases
- fuzzy clustering
- real time
- high dimensional
- clustering method
- self organizing maps
- data clustering
- categorical data
- distributed memory
- unsupervised learning
- metadata
- parallel hardware
- data analysis
- markov chain
- graphic processing unit
- cpu implementation
- multimedia
- spectral clustering
- nonnegative matrix factorization
- multi core processors
- parallel architectures
- sparse representation
- floating point