Update -- I wrapped the JBLAS library and ended up with stellar performance, about 3x faster than numpy.
https://gist.github.com/264a2756fc657140fdb8 On Tue, Jan 17, 2012 at 10:37 AM, Sam Ritchie <sritchi...@gmail.com> wrote: > Hey all, > > I'm running into some large performance differences with matrix > multiplication between Python's Numpy and Clojure -- so big that I'm almost > certainly doing something very wrong. Numpy seems to be able to multiply > a 1,000,000x23 matrix by its transpose in under a second, while the > equivalent clojure code takes over six minutes. Here's my stack overflow > post with the details: > > > http://stackoverflow.com/questions/8899773/matrix-multiplication-in-clojure-vs-numpy > > And a gist with the code: > > https://gist.github.com/1627900 > > I've tried Incanter, but it seems to be even slower than this naive > multiplication. Do you guys have any advice on how to do this in a > performant way? > > Thanks, > -- > Sam Ritchie, Twitter Inc > 703.662.1337 > @sritchie09 > > (Too brief? Here's why! http://emailcharter.org) > > -- Sam Ritchie, Twitter Inc 703.662.1337 @sritchie09 (Too brief? Here's why! http://emailcharter.org) -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en
