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