Programming parallel dense matrix factorizations with look-ahead and OpenMP.
Sandra CatalánAdrián CastellóFrancisco D. IgualRafael Rodríguez-SánchezEnrique S. Quintana-OrtíPublished in: Clust. Comput. (2020)
Keyphrases
- matrix factorization
- shared memory
- parallel programming
- graphics processing units
- distributed memory
- collaborative filtering
- matrix multiplication
- parallel computing
- programming environment
- parallel execution
- multi processor
- multi core processors
- programming language
- low rank
- nonnegative matrix factorization
- parallel processing
- parallel algorithm
- massively parallel
- negative matrix factorization
- recommender systems
- factorization methods
- parallel computation
- high performance computing
- parallel implementation
- message passing
- missing data
- data matrix
- stochastic gradient descent
- single processor
- tensor factorization