Agree GPUs may be interesting for this kind of massively parallel linear algebra on reasonable size vectors.
These projects might be of interest in this regard: https://github.com/BIDData/BIDMach https://github.com/BIDData/BIDMat https://github.com/dlwh/gust Nick On Fri, Jul 18, 2014 at 7:40 PM, m3.sharma <sharm...@umn.edu> wrote: > Thanks Nick real-time suggestion is good, will see if we can add that to > our > deployment strategy and you are correct we may not need recommendation for > each user. > > Will try adding more resources and broadcasting item features suggestion as > currently they don't seem to be huge. > > As users and items both will continue to grow in future for faster vector > computations I think few GPU nodes will suffice to serve faster > recommendation after learning model with SPARK. It will be great to have > builtin GPU support in SPARK for faster computations to leverage GPU > capability of nodes for performing these flops faster. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Large-scale-ranked-recommendation-tp10098p10183.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. >
