Can you pad data so you can use MPI_Gather instead? It's possible that
Gatherv doesn't use recursive doubling.
Or you can implement your own aggregation tree to work around the in-cast
problem.
Jeff
On Thu, Sep 21, 2017 at 2:01 PM saiyedul islam
wrote:
> Hi all,
>
> I am working on paralleliza
Thank you very much for the reply, Sir.
Yes, I can observe this pattern by eyeballing Network communication graph
of my cluster (through Ganglia Cluster Monitor :
http://ganglia.sourceforge.net/).
During this loop execution, master is receiving data at ~ 100 MB/sec (of
theoretical 125 MB/sec in Gi
All your processes send their data to a single destination, in same time.
Clearly you are reaching the capacity of your network and your data
transfers will be bound by this. This is a physical constraint that you can
only overcome by adding network capacity to your cluster.
At the software level
Hi all,
I am working on parallelization of a Data Clustering Algorithm in which I
am following MPMD pattern of MPI (i.e. 1 master process and p slave
processes in same communicator). It is an iterative algorithm where 2 loops
inside iteration are separately parallelized.
The first loop is paralle
