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Re: speed comparison of IDL, numPy, Matlab [message #23678 is a reply to message #23666]

Mon, 12 February 2001 04:19

Gavrie
Messages: 1
Registered: February 2001

Junior Member

In article <3A7EEE5C.6419B707@pacific.jpl.nasa.gov>,
Benyang Tang <btang@pacific.jpl.nasa.gov> wrote:

[...]

> * Machine: a dual Intel Xeon 550 MHz box with 1GB ram, running RedHat
Linux
> 6.2. The machine was not doing any serious service, so the test code
should
> have had close to 100% of the resources.

Well, I don't know how you got these results on a
dual Xeon 550 with 1G of RAM.
I ran the same benchmarks on a dual PIII-550 with
256MB of RAM, and got:

> python:
multiplication of 100X100 matrixes takes 0.02
multiplication of 200X200 matrixes takes 0.20
multiplication of 300X300 matrixes takes 1.07
multiplication of 400X400 matrixes takes 2.81
multiplication of 500X500 matrixes takes 5.49
multiplication of 600X600 matrixes takes 9.58

> matlab:

multiplication of 100X100 matrixes takes 0.01
multiplication of 200X200 matrixes takes 0.06
multiplication of 300X300 matrixes takes 0.15
multiplication of 400X400 matrixes takes 0.35
multiplication of 500X500 matrixes takes 0.68
multiplication of 600X600 matrixes takes 1.19

So, this difference seems a bit strange, doesn't
it?
I'm using MATLAB 6 (whichis supposed to be
*slower* than 5.3), and Python 1.5.2.

-- Gavrie Philipson.

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[Message index]

		speed comparison of IDL, numPy, Matlab By: Benyang Tang on Mon, 05 February 2001 10:18
		Re: speed comparison of IDL, numPy, Matlab By: Christopher Lee on Mon, 12 February 2001 07:14
		Re: speed comparison of IDL, numPy, Matlab By: Gavrie on Mon, 12 February 2001 04:19

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