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madeleineudell / ParallelSparseMatMul.jl

A Julia library for parallel sparse matrix multiplication using shared memory
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Compute transpose in parallel #1

Open madeleineudell opened 10 years ago

madeleineudell commented 10 years ago

Currently the transpose of the shared sparse matrix is computed in serial by calling transpose on a local version of the matrix: transpose(A) = share(transpose(localize(A))). We should be able to transpose much more quickly using parallelism.

ingenieroariel commented 10 years ago

@madeleineudell I was just going to open an issue about this :)

Thanks for the workaround. I am trying to use this package for a sparse coding problem in video using ADMM.