Re: Fwd: Memory Leak & openmpi_ext

[Sukanta Basu]

Dear Riccardo and Jordi,

I created this simple for-loop problem for testing the memory issue in
openmpi. If I run this code in serial mode with the same loop
operation, the memory leak does not happen!

Two related notes:
(i) I used to use MatlabMPI with Matlab for the same code. I never
witnessed this memory increase issue.
(ii) The same code without openmpi (i.e., serial version) does not
cause memory issue.

In my research code, I have more than several dozens of functions
within this iterative loop (a time-dependent operation in a CFD code).
This loop cannot be vectorized.

Also, deleting the variables from the workspace (after MPI_Send
operation) is not an option. Because, some of the variables are needed
in different functions. Since these variables are not growing in size
with time/iteration, they should not increase memory consumption in
any serious manner.

Thanks for the links. I have been using Matlab/Octave for more than a
decade and I am quite familiar with vectorization issues. Based on my
experience (as an user and not a developer of Octave), vectorization
helps tremendously in speeding up the operations. Having JIT compiler
makes things really faster. However, I do not see why it should cause
memory increase issues. May be I am missing something.

Best regards,
Sukanta

On Tue, May 14, 2013 at 12:31 PM, Jordi Gutiérrez Hermoso
<address@hidden> wrote:
> On 14 May 2013 12:23, Riccardo Corradini <address@hidden> wrote:
>> After sending to the master , clear all variables within each slave
>> http://www.mathworks.it/it/help/matlab/ref/cellfun.html
>> http://yagtom.googlecode.com/svn/trunk/html/speedup.html
>> Also search vectorizaction tips on octave mailing list archive.
>
> Is this documentation any good?
>
>     
> http://www.gnu.org/software/octave/doc/interpreter/Vectorization-and-Faster-Code-Execution.html
>
> - Jordi G. H.



-- 
Sukanta Basu
Associate Professor
North Carolina State University
http://www4.ncsu.edu/~sbasu5/