[petsc-users] Scatter parallel Vec to sequential Vec on non-zeroth process

Peder Jørgensgaard Olesen pjool at mek.dtu.dk
Fri Jul 2 04:06:58 CDT 2021

Matt's method seems to work well, though instead of editing the actual function I put the relevant parts directly into my code. I made the small example attached here.

I might look into Star Forests at some point, though it's not really touched upon in the manual (I will probably take a look at your paper, https://arxiv.org/abs/2102.13018).

Med venlig hilsen / Best regards


Fra: Junchao Zhang <junchao.zhang at gmail.com>
Sendt: 1. juli 2021 16:38:29
Til: Jed Brown
Cc: Peder Jørgensgaard Olesen; petsc-users at mcs.anl.gov
Emne: Re: Sv: [petsc-users] Scatter parallel Vec to sequential Vec on non-zeroth process

  PETSCSF_PATTERN_ALLTOALL only supports MPI_Alltoall (not Alltoallv), and is only used by petsc internally at few places.
  I suggest you can go with Matt's approach. After it solves your problem, you can distill an example to demo the communication pattern. Then we can see how to efficiently support that in petsc.

--Junchao Zhang

On Thu, Jul 1, 2021 at 7:42 AM Jed Brown <jed at jedbrown.org<mailto:jed at jedbrown.org>> wrote:
Peder Jørgensgaard Olesen <pjool at mek.dtu.dk<mailto:pjool at mek.dtu.dk>> writes:

> Each process is assigned an indexed subset of the tasks (the tasks are of constant size), and, for each task index, the relevant data is scattered as a SEQVEC to the process (this is done for all processes in each step, using an adaption of the code in Matt's link). This way each process only receives just the data it needs to complete the task. While I'm currently working with very moderate size data sets I'll eventually need to handle something rather more massive, so I want to economize memory where possible and give each process only the data it needs.

>From the sounds of it, this pattern ultimately boils down to MPI_Gather being called P times where P is the size of the communicator. This will work okay when P is small, but it's much less efficient than calling MPI_Alltoall (or MPI_Alltoallv), which you can do by creating one PetscSF that ships the needed data to each task and PETSCSF_PATTERN_ALLTOALL. You can see an example.

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