On 16 June 2016 at 00:46, Gilles Gouaillardet wrote:
>
> Here is the idea on how to get the number of tasks per node
>
>
> MPI_Comm intranode_comm;
>
> int tasks_per_local_node;
>
> MPI_Comm_split_type(MPI_COMM_WORLD, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,
> &intranode_comm);
>
> MPI_Comm_size(i
Here is the idea on how to get the number of tasks per node
MPI_Comm intranode_comm;
int tasks_per_local_node;
MPI_Comm_split_type(MPI_COMM_WORLD, MPI_COMM_TYPE_SHARED, 0,
MPI_INFO_NULL, &intranode_comm);
MPI_Comm_size(intranode_comm, &tasks_per_local_node)
MPI_Comm_free(&intranode_comm);
On 14 June 2016 at 13:56, Gilles Gouaillardet
wrote:
On Tuesday, June 14, 2016, MM wrote:
>
> Hello,
> I have the following 3 1-socket nodes:
>
> node1: 4GB RAM 2-core: rank 0 rank 1
> node2: 4GB RAM 4-core: rank 2 rank 3 rank 4 rank 5
> node3: 8GB RAM 4-core: rank 6 rank 7 rank 8 rank 9
>
Note if your program is synchronous, it will run at the speed of the
slowest task.
(E.g. Tasks on node 2, 1GB per task, will wait for the other tasks, 2 GB
per task)
You can use MPI_Comm_split_type in order to create inter node communicators.
Then you can find how much memory is available per task
Hello,
I have the following 3 1-socket nodes:
node1: 4GB RAM 2-core: rank 0 rank 1
node2: 4GB RAM 4-core: rank 2 rank 3 rank 4 rank 5
node3: 8GB RAM 4-core: rank 6 rank 7 rank 8 rank 9
I have a model that takes a input and produces a output, and I want to run
this model for N possible combi
