[Numpy-discussion] Ruby benchmark -- numpy is slower.... was: Re: Ruby's NMatrix and NVector
David Cournapeau
cournape@gmail....
Fri May 16 10:39:56 CDT 2008
On Sat, May 17, 2008 at 12:00 AM, Anne Archibald
<peridot.faceted@gmail.com> 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.
The benchmark was done in 2005, and we do not know how it was done (no
source). I don't know anything about ruby (that's my first ruby
"program") but:
cat > test1.py
require "narray"
a = NArray.float(1e6).fill(0)
b = NArray.float(1e6).fill(0)
for i in 1..200
a + b
end
EOF
cat > test1.py
import numpy as np
a = np.zeros(1e6)
b = np.zeros(1e6)
for i in range(200):
a + b
EOF
Give me extremely close results (now on my macbook with a core 2 duo).
One nice thing with narray is the speed when loading it (10 x faster),
but that may well be because narray is much smaller than numpy.
cheers,
David
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