Difference between MPI_Allgather and MPI_Alltoall functions?

Question

What is the main difference betweeen the MPI_Allgather and MPI_Alltoall functions in MPI?

I mean can some one give me examples where MPI_Allgather will be helpful and MPI_Alltoall will not? and vice versa.

I am not able to understand the main difference? It looks like in both the cases all the processes sends send_cnt elements to every other process participating in the communicator and receives them?

Thank You

Answer 1

A picture says more than thousand words, so here are several ASCII art pictures:

rank    send buf                        recv buf ----    --------                        --------  0      a,b,c         MPI_Allgather     a,b,c,A,B,C,#,@,%  1      A,B,C        ---------------->  a,b,c,A,B,C,#,@,%  2      #,@,%                           a,b,c,A,B,C,#,@,% 

This is just the regular MPI_Gather, only in this case all processes receive the data chunks, i.e. the operation is root-less.

rank    send buf                        recv buf ----    --------                        --------  0      a,b,c          MPI_Alltoall     a,A,#  1      A,B,C        ---------------->  b,B,@  2      #,@,%                           c,C,%  (a more elaborate case with two elements per process)  rank    send buf                        recv buf ----    --------                        --------  0      a,b,c,d,e,f    MPI_Alltoall     a,b,A,B,#,@  1      A,B,C,D,E,F  ---------------->  c,d,C,D,%,$  2      #,@,%,$,&,*                     e,f,E,F,&,* 

(looks better if each element is coloured by the rank that sends it but...)

MPI_Alltoall works as combined MPI_Scatter and MPI_Gather - the send buffer in each process is split like in MPI_Scatter and then each column of chunks is gathered by the respective process, whose rank matches the number of the chunk column. MPI_Alltoall can also be seen as a global transposition operation, acting on chunks of data.

Is there a case when the two operations are interchangeable? To properly answer this question, one has to simply analyse the sizes of the data in the send buffer and of the data in the receive buffer:

operation      send buf size      recv buf size ---------      -------------      ------------- MPI_Allgather  sendcnt            n_procs * sendcnt MPI_Alltoall   n_procs * sendcnt  n_procs * sendcnt 

The receive buffer size is actually n_procs * recvcnt, but MPI mandates that the number of basic elements sent should be equal to the number of basic elements received, hence if the same MPI datatype is used in both send and receive parts of MPI_All..., then recvcnt must be equal to sendcnt.

It is immediately obvious that for the same size of the received data, the amount of data sent by each process is different. For the two operations to be equal, one necessary condition is that the sizes of the sent buffers in both cases are equal, i.e. n_procs * sendcnt == sendcnt, which is only possible if n_procs == 1, i.e. if there is only one process, or if sendcnt == 0, i.e. no data is being sent at all. Hence there is no practically viable case where both operations are really interchangeable. But one can simulate MPI_Allgather with MPI_Alltoall by repeating n_procs times the same data in the send buffer (as already noted by Tyler Gill). Here is the action of MPI_Allgather with one-element send buffers:

rank    send buf                        recv buf ----    --------                        --------  0      a             MPI_Allgather     a,A,#  1      A            ---------------->  a,A,#  2      #                               a,A,# 

And here the same implemented with MPI_Alltoall:

rank    send buf                        recv buf ----    --------                        --------  0      a,a,a          MPI_Alltoall     a,A,#  1      A,A,A        ---------------->  a,A,#  2      #,#,#                           a,A,# 

The reverse is not possible - one cannot simulate the action of MPI_Alltoall with MPI_Allgather in the general case.

Answer 2

These two screenshots have a quick explanation:

MPI_Allgatherv

MPI_Alltoallv

Though this a comparison between MPI_Allgatherv and MPI_Alltoallv, but it also explains how MPI_Allgather differs from MPI_Alltoall.