Hi, Imran was planning on implementing a distributed SVD as a DML bodied function. The algorithm is described in the paper titled "A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks" available at https://arxiv.org/abs/1601.07010.
This algorithm requires the availability of a local SVD function, which we currently do not have in SystemML. Seeing as how there are other linear algebra functions (eigen, lu, qr, cholesky) in DML that reroute to Apache Common Math and only operate in standalone/CP mode, would it be ok to add "svd" to this set? Also, since these operations are local and not distributed and the documentation doesn't make it clear that these operations wont operate in distributed mode, would it make sense to rename them to "local_eigen", "local_qr", "local_cholesky", etc? Obviously, this change would go into the version after 0.11. I understand that the ideal solution to this problem is to have a distributed version of the aforementioned linear algebra routines, but for the time being, would it be ok to go ahead do the rename, while also introducing a "local_svd" ? Niketan, Berthold, Matthias, Sasha - Any thoughts? Thanks, Nakul Jindal
