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loooooong vector difficulties
From: |
Robert Leach |
Subject: |
loooooong vector difficulties |
Date: |
Wed, 13 Aug 2003 10:22:10 -0600 |
Hi,
I have some data that's huge. It's a string of zeroes and ones that I
want to split up into a vector as input to a wavelet transform. I'm
talking 9 million elements. I have 3 of these vectors. First of all,
even calling zeros(1,9000000) takes forever. I do that to initially
populate a convolution kernel and then change the first and last 10
elements with taps. Even those two, ten-iteration loops take forever.
Second, octave eventually chokes.
Is there anything I can do to
1: improve performance so that operations it does successfully go
faster
2: make octave more amenable to large data structures so it doesn't
crash
?
If that's not possible, then what affect on my results would splitting
up the data have?
Thanks,
Rob
=====================================================================
= Robert W. Leach =
= Los Alamos National Lab =
= Bioscience Division: Bioinformatics & Computational Biology Group =
= MS M888 =
= Los Alamos, NM 87545 =
= address@hidden =
= 505-667-2307 =
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- loooooong vector difficulties,
Robert Leach <=