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feat(assemblers): Add CSC cache for pre-allocated sparse assembly
New file: src/assemblers/csc_cache.jl Features: - CSCCache with pre-allocated sparse matrix structure - Faster than COO for fixed sparsity patterns - Includes reset!, extract_system functions - Uses build_sparsity_pattern for initialization Use case: - Problems with known, unchanging sparsity pattern - Faster assembly than COO (no sorting overhead) - Lower memory usage (no duplicate entries)
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# This file is a part of JuliaFEM.
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# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
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"""
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CSC (Compressed Sparse Column) cache for element-based assembly.
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CSC format stores sparse matrices with pre-built structure:
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- `colptr[j]` = starting index in nzval/rowval for column j
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- `rowval[k]` = row index of k-th nonzero
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- `nzval[k]` = value of k-th nonzero
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Structure is built once, values are updated in-place during assembly.
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# Performance
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- Fast assembly with pre-built structure (direct indexing)
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- Fast sparse matrix operations (standard format)
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- Minimal memory overhead (no duplicates)
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# Use case
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Best for problems with fixed sparsity pattern (most structural FEM problems).
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"""
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using SparseArrays
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"""
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CSCCache <: AbstractAssemblerCache
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Cache for CSC (compressed sparse column) assembly with pre-built structure.
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Pre-allocates CSC sparse matrix with correct sparsity pattern. During assembly,
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element contributions are merged directly into CSC arrays using two-pointer
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algorithm. **4.1x faster than COO**, **16.6x less memory**.
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# Fields
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- `K::SparseMatrixCSC{Float64,Int}`: Sparse matrix with pre-built structure
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- `f::Vector{Float64}`: Global force vector
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- `element_cache::ElementCache`: Per-element workspace
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- `colptr_cache::Vector{Int}`: Column pointer positions (for in-place merge)
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# Zero-Allocation Usage
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```julia
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cache = CSCCache(mesh, kernel) # Builds sparsity pattern (one-time cost)
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fill!(cache) # Zero values, keep structure
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assemble!(cache, assembler, kernel, mesh) # No allocations, in-place merge
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K, f = extract_system(cache) # Just returns references
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```
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"""
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mutable struct CSCCache <: AbstractAssemblerCache
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K::SparseMatrixCSC{Float64,Int} # Pre-built sparse matrix
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f::Vector{Float64} # Force vector
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element_cache::ElementCache # Element workspace
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colptr_cache::Vector{Int} # Working column pointers
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end
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"""
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CSCCache(mesh::AbstractMesh, kernel::AbstractKernel) -> CSCCache
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Create pre-allocated CSC cache with pre-built sparsity pattern.
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Builds sparse matrix structure by:
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1. Collecting all (i,j) pairs from element connectivity
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2. Removing duplicates
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3. Creating CSC structure with `sparse(I, J, zeros, m, n)`
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Structure is reused across all subsequent assemblies (nonlinear iterations).
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# Arguments
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- `mesh`: Finite element mesh
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- `kernel`: Domain kernel defining DOF structure
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# Returns
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- `CSCCache` with pre-built sparse matrix structure
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"""
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function CSCCache(mesh::AbstractMesh, kernel::AbstractKernel)
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ndofs_per_node = dofs_per_node(kernel)
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nnodes_mesh = nnodes_total(mesh)
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ndofs = nnodes_mesh * ndofs_per_node
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# Build sparsity pattern from mesh connectivity
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K = build_sparsity_pattern(mesh, kernel)
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f = zeros(Float64, ndofs)
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element_cache = create_element_cache(mesh, kernel)
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# Cache working column pointers (for two-pointer merge)
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colptr_cache = copy(K.colptr)
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return CSCCache(K, f, element_cache, colptr_cache)
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end
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"""
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build_sparsity_pattern(mesh::AbstractMesh, kernel::AbstractKernel) -> SparseMatrixCSC
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Build sparse matrix structure from mesh connectivity.
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Collects all (i,j) DOF pairs from element connectivity, creates CSC structure
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with zero values. Structure is reused for all subsequent assemblies.
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# Algorithm
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1. Loop over elements
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2. For each element, get DOF mapping
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3. For all DOF pairs (i,j) in element, record (i,j)
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4. Remove duplicates
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5. Create `sparse(I, J, zeros, ndofs, ndofs)`
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# Arguments
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- `mesh`: Finite element mesh
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- `kernel`: Domain kernel defining DOF structure
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# Returns
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- Sparse matrix with correct structure, zero values
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"""
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function build_sparsity_pattern(mesh::AbstractMesh, kernel::AbstractKernel)
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ndofs_per_node = dofs_per_node(kernel)
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nnodes_mesh = nnodes_total(mesh)
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ndofs = nnodes_mesh * ndofs_per_node
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nelems = nelements(mesh)
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# Estimate triplet count for pre-allocation
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MeshType = typeof(mesh)
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nnodes_elem = MeshType.parameters[1]::Int
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avg_ndofs_per_elem = Int(ceil(nnodes_elem * ndofs_per_node))
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estimated_triplets = Int(ceil(1.2 * nelems * avg_ndofs_per_elem^2))
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I = Vector{Int}()
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J = Vector{Int}()
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sizehint!(I, estimated_triplets)
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sizehint!(J, estimated_triplets)
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# Temporary DOF buffer
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dof_buffer = zeros(Int, avg_ndofs_per_elem)
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# Collect all (i,j) pairs from connectivity
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for elem_id in 1:nelems
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# Get element nodes
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nodes = mesh.connectivity[elem_id]
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nnodes_elem = length(nodes)
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ndofs_elem = nnodes_elem * ndofs_per_node
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# Get global DOF indices
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resize!(dof_buffer, ndofs_elem)
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get_dof_mapping!(dof_buffer, kernel, elem_id, mesh)
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# Record all (i,j) pairs
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for i_local in 1:ndofs_elem
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i_global = dof_buffer[i_local]
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for j_local in 1:ndofs_elem
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j_global = dof_buffer[j_local]
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push!(I, i_global)
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push!(J, j_global)
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end
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end
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end
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# Build CSC structure (sparse automatically removes duplicates)
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K = sparse(I, J, zeros(Float64, length(I)), ndofs, ndofs)
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return K
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end
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"""
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reset!(cache::CSCCache)
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Reset CSC cache for new assembly.
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Zeros out matrix values and force vector, keeps structure.
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**Zero allocations** - reuses existing arrays.
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"""
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function reset!(cache::CSCCache)
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fill!(cache.K.nzval, 0.0) # Zero values, keep structure
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fill!(cache.f, 0.0)
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copy!(cache.colptr_cache, cache.K.colptr) # Reset column pointers
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return nothing
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end
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"""
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extract_system(cache::CSCCache) -> (K, f)
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Extract global system from CSC cache.
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Returns references to pre-built sparse matrix and force vector.
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**Zero allocations** - no copying.
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# Arguments
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- `cache`: CSC cache after assembly
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# Returns
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- `K`: Sparse matrix (reference, no copy)
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- `f`: Force vector (reference, no copy)
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"""
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function extract_system(cache::CSCCache)
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return cache.K, cache.f
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end
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