We've looked at performance in detail with regard to OpenMPI Java for large
scale real data analytics. Here's a paper still in submission that
identifies 5 rules you'd find useful to get good performance. It talks
about how the number of processes affect performance as well. Tests were
done up 3072 cores on a large Intel Haswell HPC cluster

https://www.researchgate.net/publication/291695527_SPIDAL_Java_High_Performance_Data_Analytics_with_Java_and_MPI_on_Large_Multicore_HPC_Clusters

Thank you,
Saliya

On Sun, Jan 24, 2016 at 9:41 AM, Nick Papior <nickpap...@gmail.com> wrote:

> *All* codes scale differently.
> So you should do these tests with your own code, and not a different code
> (such as MM).
>
>
> 2016-01-24 15:38 GMT+01:00 Ibrahim Ikhlawi <ibrahim_...@hotmail.com>:
>
>>
>>
>> Hallo,
>>
>> I am working on a server and run java codes with OpenMPI. I want to know
>> which number of process is the fastest to run my code with?
>> For this reason I wrote a code that multiply two matrices but the
>> differences between the results is not significant.
>>
>> Therefore I want to know how can I benchmark my server? Or is there any
>> example which I can run many times on a different number of processes, so
>> that I can see which number of process is the best?
>>
>> Or is there examples with results which I can compare with my results?
>>
>> Thanx in advance
>> Ibrahim
>>
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>>
>
>
>
> --
> Kind regards Nick
>
> _______________________________________________
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> Link to this post:
> http://www.open-mpi.org/community/lists/users/2016/01/28353.php
>



-- 
Saliya Ekanayake
Ph.D. Candidate | Research Assistant
School of Informatics and Computing | Digital Science Center
Indiana University, Bloomington
Cell 812-391-4914
http://saliya.org

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