It's a bit more complicated than that; there are many factors involved:

- how many peer MPI processes are involved in the broadcast
- how many of those peers are local (and will likely communicate via shared 
memory, not a network device) and how many are remote
- what broadcast algorithm is used (there are many)

So the simplistic logp model won't help you here -- you'll need to be more 
complicated, and/or dig into the academic papers on these kinds of things.


On Apr 4, 2012, at 9:11 AM, anas trad wrote:

> Hi  Envoyé ,
> 
> Thanks for the reply but I want to estimate the time of executing MPI_Bcast 
> function by mathmatics. I found that we can achieve this by using LogGP model 
> with this equation:
> 
> T = ceil(log2p) . (L + 2 · o + (n − 1) · G
> 
> but that does not give good accuracy for time evaluation.
> 
> 
> 
> --- On Wed, 4/4/12, Aurélien Bouteiller <boute...@eecs.utk.edu> wrote:
> 
> From: Aurélien Bouteiller <boute...@eecs.utk.edu>
> Subject: Re: [OMPI users] Need Performance estimation of MPI_Bcast
> To: "Open MPI Users" <us...@open-mpi.org>
> Cc: "us...@open-mpi.org" <us...@open-mpi.org>
> Date: Wednesday, April 4, 2012, 3:50 PM
> 
> You can use the intel mpi benchmark, or skampi. These two programs are 
> designed to evaluate Moi performance.
> 
> Envoyé de mon iPad
> 
> Le 2012-04-04 à 08:46, anas trad <trada...@yahoo.com> a écrit :
> 
>> Hi all,
>> 
>> I need to know the time estimation of executing MPI_Bcast function on 
>> Neolith Cluster. Please, can anyone show me how to achieve that.
>> 
>> Thanks,
>> Anas
>> 
>> _______________________________________________
>> users mailing list
>> us...@open-mpi.org
>> http://www.open-mpi.org/mailman/listinfo.cgi/users
> 
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