Julia interface to hypre linear solvers (https://github.com/hypre-space/hypre)
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module HYPRESparseMatricesCSR
using HYPRE.LibHYPRE: @check, HYPRE_BigInt, HYPRE_Complex, HYPRE_Int
using HYPRE: HYPRE, HYPREMatrix, HYPRESolver, HYPREVector, HYPRE_IJMatrixSetValues, Internals
using MPI: MPI
using SparseArrays: SparseArrays, nonzeros, nzrange
using SparseMatricesCSR: SparseMatrixCSR, colvals
##################################
# SparseMatrixCSR -> HYPREMatrix #
##################################
function Internals.to_hypre_data(A::SparseMatrixCSR, ilower, iupper)
Internals.check_n_rows(A, ilower, iupper)
nnz = SparseArrays.nnz(A)
A_cols = colvals(A)
A_vals = nonzeros(A)
# Initialize the data buffers HYPRE wants
nrows = HYPRE_Int(iupper - ilower + 1) # Total number of rows
ncols = Vector{HYPRE_Int}(undef, nrows) # Number of colums for each row
rows = collect(HYPRE_BigInt, ilower:iupper) # The row indices
cols = Vector{HYPRE_BigInt}(undef, nnz) # The column indices
values = Vector{HYPRE_Complex}(undef, nnz) # The values
# Loop over the rows and collect all values
k = 0
@inbounds for i in 1:size(A, 1)
nzr = nzrange(A, i)
ncols[i] = length(nzr)
for j in nzr
k += 1
col = A_cols[j]
val = A_vals[j]
cols[k] = col
values[k] = val
end
end
@assert nnz == k
@assert nrows == length(ncols) == length(rows)
return nrows, ncols, rows, cols, values
end
# Note: keep in sync with the SparseMatrixCSC method
function HYPRE.HYPREMatrix(comm::MPI.Comm, B::SparseMatrixCSR, ilower, iupper)
A = HYPREMatrix(comm, ilower, iupper)
nrows, ncols, rows, cols, values = Internals.to_hypre_data(B, ilower, iupper)
@check HYPRE_IJMatrixSetValues(A, nrows, ncols, rows, cols, values)
Internals.assemble_matrix(A)
return A
end
# Note: keep in sync with the SparseMatrixCSC method
function HYPRE.HYPREMatrix(B::SparseMatrixCSR, ilower=1, iupper=size(B, 1))
return HYPREMatrix(MPI.COMM_SELF, B, ilower, iupper)
end
####################################
# SparseMatrixCSR solver interface #
####################################
# Note: keep in sync with the SparseMatrixCSC method
function HYPRE.solve(solver::HYPRESolver, A::SparseMatrixCSR, b::Vector)
hypre_x = HYPRE.solve(solver, HYPREMatrix(A), HYPREVector(b))
x = copy!(similar(b, HYPRE_Complex), hypre_x)
return x
end
# Note: keep in sync with the SparseMatrixCSC method
function HYPRE.solve!(solver::HYPRESolver, x::Vector, A::SparseMatrixCSR, b::Vector)
hypre_x = HYPREVector(x)
HYPRE.solve!(solver, hypre_x, HYPREMatrix(A), HYPREVector(b))
copy!(x, hypre_x)
return x
end
end # module HYPRESparseMatricesCSR