Hi,
can someone comment on these timing numbers ?
http://narray.rubyforge.org/bench.html.en
Is the current numpy faster ?
Cheers,
Sebastian Haase
On Sat, May 3, 2008 at 2:07 AM, Travis E. Oliphant
[EMAIL PROTECTED] wrote:
http://narray.rubyforge.org/matrix-e.html
It seems they've
Sebastian Haase wrote:
Hi,
can someone comment on these timing numbers ?
http://narray.rubyforge.org/bench.html.en
Is the current numpy faster ?
It is hard to know without getting the same machine or having the
benchmark sources. But except for add, all other operations rely on
2008/5/16 David Cournapeau [EMAIL PROTECTED]:
Sebastian Haase wrote:
Hi,
can someone comment on these timing numbers ?
http://narray.rubyforge.org/bench.html.en
Is the current numpy faster ?
It is hard to know without getting the same machine or having the
benchmark sources. But except
On Sat, May 17, 2008 at 12:00 AM, Anne Archibald
[EMAIL PROTECTED] wrote:
There are four benchmarks: add, multiply, dot, and solve. dot and
solve use BLAS, and for them numpy ruby and octave are comparable. Add
and multiply are much slower in numpy, but they are implemented in
numpy itself.
la, 2008-05-17 kello 00:39 +0900, David Cournapeau kirjoitti:
On Sat, May 17, 2008 at 12:00 AM, Anne Archibald
[EMAIL PROTECTED] wrote:
There are four benchmarks: add, multiply, dot, and solve. dot and
solve use BLAS, and for them numpy ruby and octave are comparable. Add
and multiply
