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Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors.
José Ignacio Aliaga
Hartwig Anzt
Enrique S. Quintana-Ortí
Andrés E. Tomás
Published in:
Concurr. Comput. Pract. Exp. (2023)
Keyphrases
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sparse matrix
graphics processors
singular value decomposition
random projections
parallel algorithm
rows and columns
gpu implementation
singular values
data sets
least squares
floating point
dimensionality reduction
low rank
computer vision
general purpose
markov random field