MPI gather data into different indices for each rank2019 Community Moderator ElectionQuestion in MPI_Gather parallel programmingMPI Gather different Sizepartition a 2D array column-wise and use allgathermpi gather collect dataMPI Gather Corrupting ArraysMPI Bcast or Scatter to specific ranksHow to send a 2D array in MPI with variation for each processorGathering a distributed array using MPIScattering to more nodes than there is dataMPI communication with different sized datatypes
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MPI gather data into different indices for each rank
2019 Community Moderator ElectionQuestion in MPI_Gather parallel programmingMPI Gather different Sizepartition a 2D array column-wise and use allgathermpi gather collect dataMPI Gather Corrupting ArraysMPI Bcast or Scatter to specific ranksHow to send a 2D array in MPI with variation for each processorGathering a distributed array using MPIScattering to more nodes than there is dataMPI communication with different sized datatypes
Pretend I have 5 x 3 array that I need to fill with data from other ranks. Each rank has a different number of rows (n x 3) that they need to send, but ideally I would like to specify the row that the data should occupy in the final array. For example (sorry for the Pythony syntax):
Rank 0
Data = [[A1,A2,A3],
[A4,A5,A6]]
Indices = [1, 4]
Rank 1
Data = [[B1,B2,B3]]
Indices = [2]
Rank 2
Data = [[C1,C2,C3],
[C4,C5,C6]]
Indices = [0,3]
Post Gather Data
Rank 0 = [[C1,C2,C3],
[A1,A2,A3],
[B1,B2,B3],
[C4,C5,C6],
[A4,A5,A6]]
The mapping of which rank is responsible for which indices is available on all ranks, so I can definitely do a gatherv() and map it back into the final array, but I was hoping I could fill it up correctly as part of the communication.
When doing IO, I do a very similar operation by having each rank define their own indexed data type and then calling MPI_File_write_all(), but I'm having trouble finding an equivalent to fill an buffer. Sorry if I'm just missing something obvious.
mpi
add a comment |
Pretend I have 5 x 3 array that I need to fill with data from other ranks. Each rank has a different number of rows (n x 3) that they need to send, but ideally I would like to specify the row that the data should occupy in the final array. For example (sorry for the Pythony syntax):
Rank 0
Data = [[A1,A2,A3],
[A4,A5,A6]]
Indices = [1, 4]
Rank 1
Data = [[B1,B2,B3]]
Indices = [2]
Rank 2
Data = [[C1,C2,C3],
[C4,C5,C6]]
Indices = [0,3]
Post Gather Data
Rank 0 = [[C1,C2,C3],
[A1,A2,A3],
[B1,B2,B3],
[C4,C5,C6],
[A4,A5,A6]]
The mapping of which rank is responsible for which indices is available on all ranks, so I can definitely do a gatherv() and map it back into the final array, but I was hoping I could fill it up correctly as part of the communication.
When doing IO, I do a very similar operation by having each rank define their own indexed data type and then calling MPI_File_write_all(), but I'm having trouble finding an equivalent to fill an buffer. Sorry if I'm just missing something obvious.
mpi
add a comment |
Pretend I have 5 x 3 array that I need to fill with data from other ranks. Each rank has a different number of rows (n x 3) that they need to send, but ideally I would like to specify the row that the data should occupy in the final array. For example (sorry for the Pythony syntax):
Rank 0
Data = [[A1,A2,A3],
[A4,A5,A6]]
Indices = [1, 4]
Rank 1
Data = [[B1,B2,B3]]
Indices = [2]
Rank 2
Data = [[C1,C2,C3],
[C4,C5,C6]]
Indices = [0,3]
Post Gather Data
Rank 0 = [[C1,C2,C3],
[A1,A2,A3],
[B1,B2,B3],
[C4,C5,C6],
[A4,A5,A6]]
The mapping of which rank is responsible for which indices is available on all ranks, so I can definitely do a gatherv() and map it back into the final array, but I was hoping I could fill it up correctly as part of the communication.
When doing IO, I do a very similar operation by having each rank define their own indexed data type and then calling MPI_File_write_all(), but I'm having trouble finding an equivalent to fill an buffer. Sorry if I'm just missing something obvious.
mpi
Pretend I have 5 x 3 array that I need to fill with data from other ranks. Each rank has a different number of rows (n x 3) that they need to send, but ideally I would like to specify the row that the data should occupy in the final array. For example (sorry for the Pythony syntax):
Rank 0
Data = [[A1,A2,A3],
[A4,A5,A6]]
Indices = [1, 4]
Rank 1
Data = [[B1,B2,B3]]
Indices = [2]
Rank 2
Data = [[C1,C2,C3],
[C4,C5,C6]]
Indices = [0,3]
Post Gather Data
Rank 0 = [[C1,C2,C3],
[A1,A2,A3],
[B1,B2,B3],
[C4,C5,C6],
[A4,A5,A6]]
The mapping of which rank is responsible for which indices is available on all ranks, so I can definitely do a gatherv() and map it back into the final array, but I was hoping I could fill it up correctly as part of the communication.
When doing IO, I do a very similar operation by having each rank define their own indexed data type and then calling MPI_File_write_all(), but I'm having trouble finding an equivalent to fill an buffer. Sorry if I'm just missing something obvious.
mpi
mpi
asked Mar 6 at 20:40
rpmcnallyrpmcnally
1098
1098
add a comment |
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