FWIW matrix multiplication is extremely communication intensive when you have two row partitioned matrices and there are often other ways to solve problems. Regardless, it would be good to have a more complete matrix library and it would be good to contribute some of the stuff we have done in the AMPLab to MLLib.
Shivaram On Fri, Sep 5, 2014 at 9:12 AM, Evan R. Sparks <evan.spa...@gmail.com> wrote: > There's some work on this going on in the AMP Lab. Create a ticket and we > can update with our progress so that we don't duplicate effort. > > > On Fri, Sep 5, 2014 at 8:18 AM, Yu Ishikawa <yuu.ishikawa+sp...@gmail.com> > wrote: > >> Hi RJ, >> >> Thank you for your comment. I am interested in to have other matrix >> operations too. >> I will create a JIRA issue in the first place. >> >> thanks, >> >> >> >> -- >> View this message in context: >> http://apache-spark-developers-list.1001551.n3.nabble.com/mllib-Add-multiplying-large-scale-matrices-tp8291p8293.html >> Sent from the Apache Spark Developers List mailing list archive at >> Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> >> --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
