On Sat, May 9, 2020 at 10:10 AM hritikesh semwal via discuss <discuss@mpich.org> wrote:
Hello,

I have following two questions with MPI,

1. Do I need to give a separate input file to each processor in a group or all of them can read the input from a single file? All data inside the file should be read by every processor.

You can read the input file from every process but it isn't a good idea.  Read the input file from rank 0 and broadcast the contents.  This assumes that your input file is small.  If your input file is huge, then you should consider designing it for parallel reading with MPI_File_* functions.
 
2. Can you please tell me what is the difference between MPI_Neighbor_alltoallw and MPI_Ineighbor_alltoallw? As I read in MPI 3.0 document that MPI_Neighbor_alltoallw also used non-blocking send and receive inside its execution.


MPI_Neighbor_alltoallw is a blocking function while MPI_Ineighbor_alltoallw is not.  Using non-blocking send and receive inside its execution does not mean that MPI_Neighbor_alltoallw doesn't block - if that is how it's implemented, then there will be the equivalent of a MPI_Waitall before the function returns.  But in any case, just because the MPI document suggests a possible implementation does not mean that is how all implementations work.

Jeff
 
Thank you.
_______________________________________________
discuss mailing list     discuss@mpich.org
To manage subscription options or unsubscribe:
https://lists.mpich.org/mailman/listinfo/discuss


--
Jeff Hammond
jeff.science@gmail.com
http://jeffhammond.github.io/