Octave Out-of-Core Solution?

[Neal Martin]

Can someone explain how Octave handles the situation in which a user
runs a large job that
exceeds the memory capacity of the system (for example, 1M X 1M FFT)?
In particular, if
the system is configured with a large swap space, is it used?  Is the
implementation of
the FFT done as an out-of-core solution?  If so, does it fail under
certain system
configuration conditions and what are these conditions?

Thanks, Neal
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Neal Martin | Senior Technologist
Instrumental, Inc | High Performance Innovation

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[dbateman]

Neal Martin wrote:

> Can someone explain how Octave handles the situation in which a user
> runs a large job that
> exceeds the memory capacity of the system (for example, 1M X 1M FFT)?
> In particular, if
> the system is configured with a large swap space, is it used?  Is the
> implementation of
> the FFT done as an out-of-core solution?  If so, does it fail under
> certain system
> configuration conditions and what are these conditions?
>  

Octave relies on third-party libraries to do the heavy lifting and if
these support out-of-core solution then Octave will. I had my own lapack
dgetrf and dgetrs out-of-core functions a few years back when my problem
would fit in the memory of my machine and I could probably dig them up
and send them to you, if you can't find other lapack out-of-core
implementation, and these might be used for an LU solver with Octave I
suppose. However for FFTs Octave uses FFTW and I don't believe that FFTW
has any out-of-core support

D.


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