The code for the paper with details is in GitHub
https://github.com/DSC-SPIDAL/damds

On Sun, Jan 24, 2016 at 2:51 PM, Ibrahim Ikhlawi <ibrahim_...@hotmail.com>
wrote:

> Thanks for reply.
>
> But I want to have an imagination about the behaviour of my server.
> Therefore I need an Code which I can run it on my server.
> Could anyone give me an example for any code? My last code was a simple
> example and not enough to get an imagination.
>
> Thanx in advance
> ------------------------------
> Date: Sun, 24 Jan 2016 10:21:07 -0500
> From: esal...@gmail.com
> To: us...@open-mpi.org
> Subject: Re: [OMPI users] how to benchmark a server with openmpi?
>
>
> 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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>
>
>
> --
> 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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>



-- 
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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