test(mpi): add partitioned matvec smoke harness

This commit is contained in:
Jukka Aho
2026-05-09 18:39:25 +03:00
parent 94b66a8b25
commit d923fe3fd4
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
#
# Multi-rank smoke: halo exchange + local owned-row matvec sums to global apply_K!.
# See also `partitioned_matvec_cg.jl` for unpreconditioned CG using the same MPI stack.
#
# MPI is optional (weak dependency): use an environment where both the dev package and
# MPI.jl are present, e.g. a throwaway project (same pattern as CI):
# export MPI_SMOKE_ENV="$(mktemp -d)"
# julia -e 'using Pkg; envdir=ENV["MPI_SMOKE_ENV"]; Pkg.activate(envdir); Pkg.develop(path=pwd()); Pkg.add("MPI"); Pkg.instantiate();
# using MPI; run(`$(MPI.mpiexec()) -n 3 $(Base.julia_cmd()) --project=$envdir --startup-file=no $(joinpath(pwd(),"test","mpi","partitioned_matvec_smoke.jl"))`)'
using Test
using JuliaFEM
using MPI
using Random
function main()
MPI.Init()
try
comm = MPI.COMM_WORLD
rank = MPI.Comm_rank(comm)
nprocs = MPI.Comm_size(comm)
@test nprocs >= 2
nparts = nprocs
part = rank + 1
nx, ny, nz = 3, 4, 2
mesh = create_structured_box_mesh(Hex8; nx = nx, ny = ny, nz = nz)
material = LinearElastic(E = 210e9, ν = 0.3)
kernel = ContinuumKernel(
ContinuumFormulation{FullThreeD}(),
material,
Displacement{3}(),
)
S = @DOFSet{u::DOF{Displacement{3}, Vertex}}
elements, handler = create_elements!(mesh, Element{Hex8, Lagrange{1}, S})
asm = DOFBasedCOOAssembler()
cache = DOFBasedCOOCache(elements, handler, mesh, kernel)
layout = brick_hex_partition_slabs(nx, ny, nz, nparts; axis = :y)
validate_partition(layout, length(elements))
@test maximum(layout.element_part_id) == nparts
nnodes = length(mesh.nodes)
node_own = Vector{Int}(undef, nnodes)
node_partition_owner_min!(node_own, layout, mesh)
exch_all = build_matvec_halo_exchanges(
handler,
layout,
mesh,
node_own,
elements,
cache.dof_connectivity,
)
n = cache.ndofs
x = zeros(n)
if rank == 0
Random.seed!(20260509)
randn!(x)
end
MPI.Bcast!(x, 0, comm)
L = build_partition_packed_layout_for_matvec(
handler,
layout,
mesh,
node_own,
elements,
part,
cache.dof_connectivity,
)
ex = exch_all[part]
packed = zeros(L.n_packed)
work = zeros(L.ndofs_global)
recv_vals = allocate_halo_recv_buffers(ex)
send_vals = allocate_halo_send_buffers(ex)
mpi_reqs = allocate_exchange_matvec_halo_mpi_requests(ex)
gather_owned_from_global_to_packed!(packed, x, L)
exchange_matvec_halos_mpi!(
recv_vals, send_vals, packed, L, ex, comm; mpi_requests = mpi_reqs)
unpack_halo_recv_to_packed!(packed, recv_vals, ex, L)
fill!(work, 0.0)
expand_packed_to_global!(work, packed, L)
y_local = zeros(n)
apply_K_owned_rows!(y_local, L.owned_rows, cache, asm, kernel, mesh, work)
y_sum = zeros(n)
MPI.Allreduce!(y_local, y_sum, MPI.SUM, comm)
y_ref = zeros(n)
apply_K!(y_ref, cache, asm, kernel, mesh, x)
@test y_sum y_ref rtol = 1e-11 atol = 1e-11
rank == 0 && println("MPI partitioned matvec smoke: OK ($(nprocs) ranks)")
finally
MPI.Finalize()
end
return nothing
end
main()