I posted some answers on the GitHub issue:
https://github.com/mikera/core.matrix/issues/228
But in short, you should use one of the optimised implementations if you
care about performance. Clojure vectors are very flexible, but aren't
really designed for numerical performance. vectorz-clj for example should
be pretty good for your needs:
(let [v (array :vectorz [5 5 5 5 5 5 5 5 5 5])]
(time (dotimes [i 800000] (dot v v))) )"Elapsed time: 22.990836 msecs"
On Saturday, 14 March 2015 19:10:58 UTC+8, Byan Jati wrote:
>
> hello there, i want to ask about core.matrix dot product performance, is
> there a technique to optimize dot-product function ?
>
> Because i found that in Java, C, or even in HipHipArray library, the dot
> product performance is extremely faster than core matrix dot product. I
> conduct a little benchmark by looping the dot product function until 800000
> steps, and i found in Java = 12 ms, C = 22 ms, and core.matrix = 1300 ms (
> if using core.matrix.dot ), if using hiphip array in clojure, i found its
> resulting 300 ms for 800000 iteration dot-product.
>
> Actually i want to use hiphip array and core matrix when executing the
> core.matrix.dot-product, but the function dot-product demanding
> double-array format for the input, which is also bottleneck process for
> core.matrix because the row of matrix should be cast into double-array form
> before running dot-product.
>
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