mirror of
https://github.com/JuliaFEM/JuliaFEM.jl.git
synced 2026-09-11 22:21:52 +00:00
refactor(src): remove element_based_coo.jl
src/assemblers/element_based_coo.jl | 461 ------------------------------------ 1 file changed, 461 deletions(-)
This commit is contained in:
@@ -1,461 +0,0 @@
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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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COO (Coordinate format) assembly implementation.
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Classical element-by-element assembly using triplet vectors (I, J, V).
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Accumulates all element contributions, builds sparse matrix at end.
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**Performance**: Baseline (1.0x), moderate memory usage.
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**Best for**: Prototyping, debugging, simple problems.
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"""
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using SparseArrays
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using ..JuliaFEM: GlobalMaterialCache, get_tangent, get_tangent_vector, extract_tangent!
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# Include scatter implementations
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include("scatter_to_triplets.jl")
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include("scatter_blocks_to_triplets.jl")
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include("scatter_blocks_to_triplets_symmetric.jl")
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include("scatter_blocks_to_triplets_symmetric_manually_unrolled.jl")
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include("scatter_blocks_to_triplets_symmetric_direct.jl")
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include("scatter_to_force.jl")
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include("scatter_blocks_to_force.jl")
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"""
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assemble_element!(
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element_cache::ElementCache,
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geometry_cache::GeometryCache,
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material_workspace::AssemblyMaterialWorkspace,
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kernel::AbstractKernel,
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elem_id::Int,
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mesh::AbstractMesh,
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N::Int,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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global_cache::GlobalMaterialCache,
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Δt::Float64
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) -> Nothing
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Assemble a single element using GlobalMaterialCache (NEW API).
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**New API:** Uses `GlobalMaterialCache` for persistent state storage.
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State is read from and written to `global_cache` automatically.
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This function encapsulates all operations performed on a single element:
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1. Reset caches
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2. Update element cache (extract displacements, DOF mapping)
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3. Update geometry cache (extract coordinates, compute gradients, detJ*w)
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4. Update material workspace (compute stress, tangent, internal state)
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- Reads old state from `global_cache`
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- Writes new state to `global_cache`
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5. Compute element stiffness blocks
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# Arguments
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- `element_cache`: Element cache to update
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- `geometry_cache`: Geometry cache to update
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- `material_workspace`: Assembly material workspace to update (per-element temporary)
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- `kernel`: Domain kernel
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- `elem_id`: Current element ID
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- `mesh`: Finite element mesh
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- `N`: Number of nodes per element (compile-time constant)
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- `u_global`: Global displacement field (nothing for linear analysis)
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- `global_cache`: Global material cache (persistent state storage)
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- `Δt`: Time increment
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# Zero-Allocation Guarantee
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This function should have ZERO allocations when called in a loop.
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All operations are in-place mutations of pre-allocated caches.
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"""
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function assemble_element!(
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element_cache::ElementCache,
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geometry_cache::GeometryCache,
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material_workspace::AssemblyMaterialWorkspace{FieldType, StateType},
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kernel::AbstractKernel,
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elem_id::Int,
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mesh::AbstractMesh,
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N::Int,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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global_cache::GlobalMaterialCache,
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Δt::Float64,
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𝔻_vec_buffer::Vector{SymmetricTensor{4,3,Float64,36}}
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) where {FieldType<:NamedTuple, StateType<:NamedTuple}
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# Reset caches for new element
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reset!(element_cache)
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reset!(geometry_cache)
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reset!(material_workspace)
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# PHASE 1: Update element cache (extract displacements, DOF mapping)
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update_element_cache!(element_cache, kernel, elem_id, mesh, u_global)
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# PHASE 2: Update geometry cache (extract coordinates, compute gradients, detJ*w)
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update_geometry_cache!(geometry_cache, element_cache, kernel, elem_id, mesh)
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# PHASE 3: Update material workspace (compute stress, tangent, internal state)
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# Uses GlobalMaterialCache - reads old state, writes new state
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update_material_cache!(material_workspace, geometry_cache, kernel.material, element_cache, global_cache, elem_id, Δt)
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# PHASE 4: Compute element stiffness blocks
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# Assemble only upper triangle (k ≤ l) since stiffness matrix is symmetric
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# This halves computation and memory usage
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# Extract tangent vector ONCE before loop for zero-allocation access
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# CRITICAL FIX: Use extract_tangent! with pre-allocated buffer (zero-allocation)
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fields = getfield(material_workspace, 1) # Direct field access - zero allocation, type-stable
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extract_tangent!(𝔻_vec_buffer, fields, FieldType) # Type-stable extraction using compile-time field index
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𝔻_vec = 𝔻_vec_buffer # Use buffer directly (zero allocation)
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@inbounds for k in 1:N, l in k:N # Only l ≥ k (upper triangle)
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compute_block!(
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element_cache.K_blocks,
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geometry_cache.∇N_data,
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geometry_cache.detJ_w,
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𝔻_vec,
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k, l
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)
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end
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return nothing
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end
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"""
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assemble_element!(
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element_cache::ElementCache,
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geometry_cache::GeometryCache,
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material_workspace::AssemblyMaterialWorkspace,
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kernel::AbstractKernel,
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elem_id::Int,
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mesh::AbstractMesh,
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N::Int,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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state_old::Union{Nothing,Matrix{<:AbstractMaterialState}},
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Δt::Float64
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) -> Nothing
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Assemble a single element (LEGACY API - Matrix{<:AbstractMaterialState}).
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**Legacy API:** Uses `Matrix{<:AbstractMaterialState}` for state storage.
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For new code, prefer `GlobalMaterialCache` overload.
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This function encapsulates all operations performed on a single element:
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1. Reset caches
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2. Update element cache (extract displacements, DOF mapping)
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3. Update geometry cache (extract coordinates, compute gradients, detJ*w)
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4. Update material workspace (compute stress, tangent, internal state)
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5. Compute element stiffness blocks
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# Arguments
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- `element_cache`: Element cache to update
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- `geometry_cache`: Geometry cache to update
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- `material_workspace`: Assembly material workspace to update (per-element temporary)
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- `kernel`: Domain kernel
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- `elem_id`: Current element ID
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- `mesh`: Finite element mesh
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- `N`: Number of nodes per element (compile-time constant)
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- `u_global`: Global displacement field (nothing for linear analysis)
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- `state_old`: Global material state (nothing for stateless materials) - LEGACY
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- `Δt`: Time increment
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# Zero-Allocation Guarantee
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This function should have ZERO allocations when called in a loop.
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All operations are in-place mutations of pre-allocated caches.
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"""
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function assemble_element!(
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element_cache::ElementCache,
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geometry_cache::GeometryCache,
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material_workspace::AssemblyMaterialWorkspace{FieldType, StateType},
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kernel::AbstractKernel,
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elem_id::Int,
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mesh::AbstractMesh,
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N::Int,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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state_old::Union{Nothing,Matrix{<:AbstractMaterialState}},
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Δt::Float64,
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𝔻_vec_buffer::Vector{SymmetricTensor{4,3,Float64,36}}
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) where {FieldType<:NamedTuple, StateType<:NamedTuple}
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# Reset caches for new element
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reset!(element_cache)
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reset!(geometry_cache)
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reset!(material_workspace)
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# PHASE 1: Update element cache (extract displacements, DOF mapping)
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update_element_cache!(element_cache, kernel, elem_id, mesh, u_global)
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# PHASE 2: Update geometry cache (extract coordinates, compute gradients, detJ*w)
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update_geometry_cache!(geometry_cache, element_cache, kernel, elem_id, mesh)
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# PHASE 3: Update material workspace (compute stress, tangent, internal state)
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update_material_cache!(material_workspace, geometry_cache, kernel.material, element_cache, state_old, elem_id, Δt)
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# PHASE 4: Compute element stiffness blocks
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# Assemble only upper triangle (k ≤ l) since stiffness matrix is symmetric
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# This halves computation and memory usage
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# Extract tangent vector ONCE before loop for zero-allocation access
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# CRITICAL FIX: Use extract_tangent! with pre-allocated buffer (zero-allocation)
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fields = getfield(material_workspace, 1) # Direct field access - zero allocation, type-stable
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extract_tangent!(𝔻_vec_buffer, fields, FieldType) # Type-stable extraction using compile-time field index
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𝔻_vec = 𝔻_vec_buffer # Use buffer directly (zero allocation)
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@inbounds for k in 1:N, l in k:N # Only l ≥ k (upper triangle)
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compute_block!(
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element_cache.K_blocks,
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geometry_cache.∇N_data,
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geometry_cache.detJ_w,
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𝔻_vec,
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k, l
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)
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end
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return nothing
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end
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"""
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assemble!(
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cache::COOCache,
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assembler::COOAssembler,
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kernel::AbstractKernel,
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mesh::AbstractMesh,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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global_cache::GlobalMaterialCache,
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Δt::Float64
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) -> Nothing
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Assemble stiffness matrix and force vector using GlobalMaterialCache (NEW API).
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**New API:** Uses `GlobalMaterialCache` for persistent state storage.
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State is automatically read from and written to `global_cache` during assembly.
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# Arguments
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- `cache`: Pre-allocated COO cache
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- `assembler`: COO assembler
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- `kernel`: Domain kernel (continuum, plate, beam, etc.)
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- `mesh`: Finite element mesh
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- `u_global`: Global displacement field [nnodes] as Vec{3} (nothing for linear analysis)
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- `global_cache`: Global material cache (persistent state storage)
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- `Δt`: Time increment (for rate-dependent materials)
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# Side Effects
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- Mutates `cache.I`, `cache.J`, `cache.V` (triplets)
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- Mutates `cache.f` (force vector)
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- Writes new state to `global_cache` via `set_state!()`
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# Zero-Allocation Guarantee
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No allocations during assembly loop. All arrays pre-allocated in cache.
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Only allocation: `sparse(I, J, V)` in `extract_system(cache)` (called once).
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"""
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function assemble!(
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cache::COOCache,
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assembler::COOAssembler,
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kernel::AbstractKernel,
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mesh::AbstractMesh,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}},
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global_cache::GlobalMaterialCache,
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Δt::Float64
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)
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# Extract compile-time constants from mesh type parameters
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# Mesh{N,T} where N = nodes per element, T = topology type
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MeshType = typeof(mesh)
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N = MeshType.parameters[1]::Int # Compile-time constant for loop unrolling
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# Reset cache for new assembly
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reset!(cache)
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nelems = nelements(mesh)
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element_cache = cache.element_cache
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geometry_cache = cache.geometry_cache
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material_workspace = cache.material_workspace
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# Extract counter ONCE before loop to avoid Ref{Int} indirection overhead
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counter = 0
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# Loop over elements
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𝔻_vec_buffer = cache.𝔻_vec_buffer # Cache buffer reference for zero-allocation access
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for elem_id in 1:nelems
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# Assemble single element (all phases) - uses GlobalMaterialCache
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assemble_element!(element_cache, geometry_cache, material_workspace,
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kernel, elem_id, mesh, N, u_global, global_cache, Δt, 𝔻_vec_buffer)
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# Scatter blocks directly to triplets using direct version (zero dispatch!)
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counter = scatter_blocks_to_triplets_symmetric_direct!(
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cache.I, cache.J, cache.V, counter, cache.capacity,
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element_cache.K_blocks, element_cache.dofs, N)
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# Scatter blocked force to global force vector
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scatter_blocks_to_force!(cache.f, element_cache.f_blocks, element_cache.dofs, N)
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end
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# Write counter back ONCE after loop
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cache.counter = counter # Direct assignment (Int, not Ref{Int})
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return nothing
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end
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"""
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assemble!(
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cache::COOCache,
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assembler::COOAssembler,
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kernel::AbstractKernel,
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mesh::AbstractMesh,
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u_global::Union{Nothing,Vector{Vec{3,Float64}}} = nothing,
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state_old::Union{Nothing,Matrix{<:AbstractMaterialState}} = nothing,
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Δt::Float64 = 0.0
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) -> Nothing
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Assemble stiffness matrix and force vector (LEGACY API - Matrix{<:AbstractMaterialState}).
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**Legacy API:** Uses `Matrix{<:AbstractMaterialState}` for state storage.
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For new code, prefer `GlobalMaterialCache` overload.
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Assemble global system using COO format with **three-phase approach**.
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# Three-Phase Algorithm
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1. Reset cache (zero arrays, reset counter)
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2. Loop over elements:
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a. Reset caches: `reset!(geometry_cache)`, `reset!(element_cache)`, `reset!(material_workspace)`
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b. **Phase 1a (Geometry):** Extract node coordinates
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- `update_geometry_cache!(geometry_cache, kernel, elem_id, mesh)`
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c. **Phase 1b (Element):** Extract displacements and DOF mapping
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- `update_element_cache!(element_cache, kernel, elem_id, mesh, u_global)`
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d. **Phase 2 (Material):** Compute material state at all IPs
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- `update_material_cache!(material_workspace, geometry_cache, material, element_cache, state_old, elem_id, Δt)`
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e. **Phase 3 (Stiffness):** Compute element stiffness using precomputed state
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- `compute_element_stiffness!(element_cache, geometry_cache, material_workspace, N, NIP)`
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f. Scatter Ke to triplets: accumulate (i,j,value) to (I,J,V)
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g. Scatter fe to global force vector: `f[dofs] += fe`
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3. Use `extract_system(cache)` to build sparse matrix from triplets
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# Arguments
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- `cache`: Pre-allocated COO cache
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- `assembler`: COO assembler
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- `kernel`: Domain kernel (continuum, plate, beam, etc.)
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- `mesh`: Finite element mesh
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- `u_global`: Global displacement field [nnodes] as Vec{3} (nothing for linear analysis)
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- `state_old`: Global material state [nips, nelems] (nothing for stateless materials)
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- `Δt`: Time increment (for rate-dependent materials)
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# Zero-Allocation Guarantee
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No allocations during assembly loop. All arrays pre-allocated in cache.
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Only allocation: `sparse(I, J, V)` in `extract_system(cache)` (called once).
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# Example
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# Setup (one-time)
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mesh = create_cantilever_mesh(10, 2, 2)
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kernel = ContinuumKernel(formulation, material, field)
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assembler = COOAssembler()
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cache = COOCache(mesh, kernel)
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# Linear assembly (no displacement, no state)
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assemble!(cache, assembler, kernel, mesh)
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# Nonlinear assembly (with displacement and state)
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nnodes = nnodes_total(mesh)
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u_global = [zero(Vec{3,Float64}) for _ in 1:nnodes]
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nips = length(cache.element_cache.ips)
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nelems = nelements(mesh)
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state_old = Matrix{PlasticityState}(undef, nips, nelems)
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for i in 1:nips, j in 1:nelems
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state_old[i,j] = PlasticityState() # Initialize with zero state
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end
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for iter in 1:max_iter
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assemble!(cache, assembler, kernel, mesh, u_global, state_old, Δt)
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K, f = extract_system(cache)
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# ... solve, update u_global and state_old ...
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end
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# Performance
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For 2500 Tet4 elements:
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- Time: 9.71 ms
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- Memory: 8.4 MB
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- Speedup: 1.0x (baseline)
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"""
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||||
function assemble!(
|
||||
cache::COOCache,
|
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assembler::COOAssembler,
|
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kernel::AbstractKernel,
|
||||
mesh::AbstractMesh,
|
||||
u_global::Union{Nothing,Vector{Vec{3,Float64}}}=nothing,
|
||||
state_old::Union{Nothing,Matrix{<:AbstractMaterialState}}=nothing,
|
||||
Δt::Float64=0.0
|
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)
|
||||
# Extract compile-time constants from mesh type parameters
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||||
# Mesh{N,T} where N = nodes per element, T = topology type
|
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MeshType = typeof(mesh)
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N = MeshType.parameters[1]::Int # Compile-time constant for loop unrolling
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# Reset cache for new assembly
|
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reset!(cache)
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nelems = nelements(mesh)
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element_cache = cache.element_cache
|
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geometry_cache = cache.geometry_cache
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||||
material_workspace = cache.material_workspace
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||||
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# N (nodes per element) and NIP (integration points) are now compile-time constants
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# extracted from type parameters for aggressive loop unrolling
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# Extract counter ONCE before loop to avoid Ref{Int} indirection overhead
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#counter = cache.counter[]
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counter = 0
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# Loop over elements
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||||
𝔻_vec_buffer = cache.𝔻_vec_buffer # Cache buffer reference for zero-allocation access
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||||
for elem_id in 1:nelems
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||||
# Assemble single element (all phases)
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||||
assemble_element!(element_cache, geometry_cache, material_workspace,
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||||
kernel, elem_id, mesh, N, u_global, state_old, Δt, 𝔻_vec_buffer)
|
||||
|
||||
# Scatter blocks directly to triplets using direct version (zero dispatch!)
|
||||
# Pass counter as Int (not Ref{Int}) to eliminate indirection
|
||||
counter = scatter_blocks_to_triplets_symmetric_direct!(
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cache.I, cache.J, cache.V, counter, cache.capacity,
|
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element_cache.K_blocks, element_cache.dofs, N)
|
||||
|
||||
# Scatter blocked force to global force vector
|
||||
scatter_blocks_to_force!(cache.f, element_cache.f_blocks, element_cache.dofs, N)
|
||||
end
|
||||
|
||||
# Write counter back ONCE after loop
|
||||
# NOTE: counter MUST be written back so extract_system() knows how many triplets to extract
|
||||
cache.counter = counter # Direct assignment (Int, not Ref{Int})
|
||||
|
||||
return nothing
|
||||
end
|
||||
|
||||
"""
|
||||
estimate_triplet_count(mesh::AbstractMesh, kernel::AbstractKernel) -> Int
|
||||
|
||||
Estimate number of triplets for COO assembly.
|
||||
|
||||
Used to pre-allocate triplet arrays with correct capacity.
|
||||
|
||||
# Formula
|
||||
|
||||
```
|
||||
triplet_count = sum over elements of ndofs_elem^2
|
||||
≈ nelems × (avg_nnodes_per_elem × ndofs_per_node)^2
|
||||
```
|
||||
|
||||
Over-allocates by 20% for irregular meshes.
|
||||
|
||||
# Arguments
|
||||
- `mesh`: Finite element mesh
|
||||
- `kernel`: Domain kernel
|
||||
|
||||
# Returns
|
||||
- Estimated triplet count (integer)
|
||||
"""
|
||||
function estimate_triplet_count(mesh::AbstractMesh, kernel::AbstractKernel)
|
||||
nelems = nelements(mesh)
|
||||
ndofs_per_node = dofs_per_node(kernel)
|
||||
|
||||
# Compute average nodes per element
|
||||
avg_nnodes_per_elem = sum(nnodes_per_element(mesh, i) for i in 1:nelems) / nelems
|
||||
avg_ndofs_per_elem = Int(ceil(avg_nnodes_per_elem * ndofs_per_node))
|
||||
|
||||
# Estimate: nelems * ndofs_elem^2, with 20% safety margin
|
||||
estimated = Int(ceil(1.2 * nelems * avg_ndofs_per_elem^2))
|
||||
|
||||
return estimated
|
||||
end
|
||||
Reference in New Issue
Block a user