I was just emailing something similar on Mahout(See my email). I saw the TU Berlin name and I thought you would do something about it :) This is excellent. One of the next gen work on Vectors is maybe investigating this.
Robin Anil | Software Engineer | +1 312 869 2602 | Google Inc. On Thu, Apr 18, 2013 at 3:37 PM, Sebastian Schelter <[email protected]> wrote: > Hi there, > > with regard to Robin mentioning JBlas [1] recently when we talked about > the performance of our vector operations, I ported the solving code for > ALS to JBlas today and got some awesome results. > > For the movielens 1M dataset and a factorization of rank 100, the > runtimes per iteration dropped from 50 seconds to less than 7 seconds. I > will run some tests with the distributed version and larger datasets in > the next days, but from what I've seen we should really take a closer > look at JBlas, at least for operations on dense matrices. > > Best, > Sebastian > > [1] http://mikiobraun.github.io/jblas/ >
