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test(materials): add cantilever material cache zero allocations test
New 308-line test file included in main test/runtests.jl: - Tests GlobalMaterialCache with cantilever beam problem - Verifies ZERO allocations during state access and updates - Tests cache creation from material traits (automatic) - Tests time-stepping workflow with zero allocations in hot loop - Includes performance benchmarks using BenchmarkTools - Validates material state type inference Comprehensive performance test ensuring material cache system has zero allocations.
This commit is contained in:
Jukka Aho
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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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Cantilever Beam Test with GlobalMaterialCache - Zero Allocation Verification
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This test demonstrates that the GlobalMaterialCache system:
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1. Works correctly with material traits
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2. Has ZERO allocations during state access and updates
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3. Integrates properly with a real cantilever beam problem
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The test uses a simple cantilever beam to verify:
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- Cache creation from material traits (automatic)
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- State access operations (zero allocations)
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- State update operations (zero allocations)
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- Time-stepping workflow (zero allocations in hot loop)
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"""
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using Test
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using JuliaFEM
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using JuliaFEM: material_state_type
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using Tensors
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using BenchmarkTools
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# Helper function for benchmarking (needs to be defined at module level for @benchmark)
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function bench_get_state_func(cache, nelems, nips)
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for elem_id in 1:nelems, ip in 1:nips
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_ = JuliaFEM.get_state(cache, ip, elem_id)
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end
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end
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@testset "Cantilever Beam - GlobalMaterialCache Zero Allocations" begin
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println("\n" * "="^70)
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println("CANTILEVER BEAM - GLOBAL MATERIAL CACHE ZERO ALLOCATIONS")
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println("="^70)
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# ========================================================================
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# 1. Setup: Simple Cantilever Beam
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# ========================================================================
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println("\n[1] Setting up cantilever beam problem...")
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# Simple geometry: 10m × 1m × 1m beam
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# 10 elements along length, 1×1 cross-section
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Lx, Ly, Lz = 1.0, 1.0, 10.0 # Width × Height × Length
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nx, ny, nz = 1, 1, 10 # Elements in each direction
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# Generate structured Hex8 mesh
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nodes = Vec{3,Float64}[]
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for iz in 0:nz, iy in 0:ny, ix in 0:nx
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x = ix * (Lx / nx)
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y = iy * (Ly / ny)
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z = iz * (Lz / nz)
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push!(nodes, Vec{3}((x, y, z)))
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end
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# Connectivity (Hex8)
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connectivity = NTuple{8,Int}[]
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for iz in 0:(nz-1), iy in 0:(ny-1), ix in 0:(nx-1)
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n1 = ix + iy * (nx + 1) + iz * (nx + 1) * (ny + 1) + 1
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n2 = (ix + 1) + iy * (nx + 1) + iz * (nx + 1) * (ny + 1) + 1
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n3 = (ix + 1) + (iy + 1) * (nx + 1) + iz * (nx + 1) * (ny + 1) + 1
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n4 = ix + (iy + 1) * (nx + 1) + iz * (nx + 1) * (ny + 1) + 1
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n5 = ix + iy * (nx + 1) + (iz + 1) * (nx + 1) * (ny + 1) + 1
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n6 = (ix + 1) + iy * (nx + 1) + (iz + 1) * (nx + 1) * (ny + 1) + 1
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n7 = (ix + 1) + (iy + 1) * (nx + 1) + (iz + 1) * (nx + 1) * (ny + 1) + 1
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n8 = ix + (iy + 1) * (nx + 1) + (iz + 1) * (nx + 1) * (ny + 1) + 1
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push!(connectivity, (n1, n2, n3, n4, n5, n6, n7, n8))
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end
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nnodes = length(nodes)
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nelems = length(connectivity)
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nips_per_elem = 8 # Standard for Hex8
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println(" Nodes: $nnodes")
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println(" Elements: $nelems")
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println(" Integration points per element: $nips_per_elem")
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println(" Total integration points: $(nelems * nips_per_elem)")
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# ========================================================================
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# 2. Material Setup with Traits
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# ========================================================================
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println("\n[2] Setting up material with trait system...")
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# Linear elastic material (stateless)
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E = 210e9 # Pa (210 GPa)
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ν = 0.3
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material = LinearElastic(E=E, ν=ν)
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# Verify material traits
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@test required_state_variables(material) === ()
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@test is_stateful(material) == false
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@test supported_physics(material) == (Elasticity{3}(),)
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println(" Material: LinearElastic")
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println(" E = $(E/1e9) GPa, ν = $ν")
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println(" State variables: $(required_state_variables(material))")
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println(" Is stateful: $(is_stateful(material))")
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# ========================================================================
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# 3. Create GlobalMaterialCache from Material Traits
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# ========================================================================
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println("\n[3] Creating GlobalMaterialCache from material traits...")
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# Cache is automatically constructed from material traits
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global_cache = create_global_material_cache(material, n_ips=nips_per_elem, n_elems=nelems)
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# Verify cache type (should be empty NamedTuple for stateless material)
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@test global_cache isa GlobalMaterialCache{NamedTuple{(),Tuple{}}}
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@test size(global_cache.states) == (nips_per_elem, nelems)
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@test size(global_cache.states_old) == (nips_per_elem, nelems)
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println(" Cache type: $(typeof(global_cache))")
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println(" Cache size: $(size(global_cache.states))")
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println(" State type: $(typeof(global_cache.states[1,1]))")
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# Verify all states are empty (stateless material)
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for elem_id in 1:nelems, ip in 1:nips_per_elem
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state = get_state(global_cache, ip, elem_id)
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@test state === NamedTuple()
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end
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println(" ✓ All states verified as empty (stateless material)")
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# ========================================================================
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# 4. Zero Allocation Tests - State Access
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# ========================================================================
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println("\n[4] Testing zero allocations - state access operations...")
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# Warm up
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for _ in 1:10
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_ = get_state(global_cache, 1, 1)
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_ = get_old_state(global_cache, 1, 1)
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end
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# Test get_state - should be zero allocations
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function test_get_state(cache, nelems, nips)
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for elem_id in 1:nelems, ip in 1:nips
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state = get_state(cache, ip, elem_id)
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end
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end
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allocs_get_state = @allocated test_get_state(global_cache, nelems, nips_per_elem)
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# Test get_old_state - should be zero allocations
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function test_get_old_state(cache, nelems, nips)
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for elem_id in 1:nelems, ip in 1:nips
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state_old = get_old_state(cache, ip, elem_id)
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end
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end
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allocs_get_old_state = @allocated test_get_old_state(global_cache, nelems, nips_per_elem)
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println(" get_state allocations: $allocs_get_state bytes")
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println(" get_old_state allocations: $allocs_get_old_state bytes")
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@test allocs_get_state == 0
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@test allocs_get_old_state == 0
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println(" ✓ State access operations: ZERO ALLOCATIONS")
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# ========================================================================
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# 5. Zero Allocation Tests - State Updates (for stateful materials)
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# ========================================================================
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println("\n[5] Testing zero allocations - state update operations...")
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# Create a stateful cache for testing (plasticity-like)
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StateType = NamedTuple{(:ε_p, :α, :κ), Tuple{
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SymmetricTensor{2,3,Float64,6},
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SymmetricTensor{2,3,Float64,6},
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Float64
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}}
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stateful_cache = GlobalMaterialCache{StateType}(nips_per_elem, nelems)
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# Warm up
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test_state = (
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ε_p = zero(SymmetricTensor{2,3}),
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α = zero(SymmetricTensor{2,3}),
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κ = 0.0
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)
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for _ in 1:10
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set_state!(stateful_cache, 1, 1, test_state)
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end
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# Test set_state! - creating new NamedTuples allocates (expected),
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# but set_state! itself should be zero-allocation (in-place update)
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# Pre-create state outside loop to test set_state! only
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state_test = (
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ε_p = zero(SymmetricTensor{2,3}),
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α = zero(SymmetricTensor{2,3}),
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κ = 0.0
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)
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function test_set_state_only(cache, nelems, nips, state)
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for elem_id in 1:nelems, ip in 1:nips
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set_state!(cache, ip, elem_id, state)
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end
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end
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# Warm up
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for _ in 1:10
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test_set_state_only(stateful_cache, nelems, nips_per_elem, state_test)
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end
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allocs_set_state = @allocated test_set_state_only(stateful_cache, nelems, nips_per_elem, state_test)
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println(" set_state! allocations (state pre-created): $allocs_set_state bytes")
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@test allocs_set_state == 0
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println(" ✓ State update operations: ZERO ALLOCATIONS")
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# ========================================================================
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# 6. Zero Allocation Tests - Time Stepping Workflow
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# ========================================================================
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println("\n[6] Testing zero allocations - time stepping workflow...")
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# Simulate time-stepping: update_cache! copies current → old
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# Warm up
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for _ in 1:10
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update_cache!(stateful_cache)
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end
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# Test update_cache! - should be zero allocations (in-place copy)
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allocs_update_cache = @allocated begin
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update_cache!(stateful_cache)
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end
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println(" update_cache! allocations: $allocs_update_cache bytes")
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@test allocs_update_cache == 0
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# Test complete time-stepping loop
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# Note: Creating new NamedTuples allocates (expected for stateful materials)
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# The zero-allocation requirement applies to the assembler hot loop, not to creating new state values
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# Here we test that the cache operations themselves (get_old_state, set_state!) are efficient
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update_cache!(stateful_cache) # Save previous step
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function test_time_loop_ops(cache, nelems, nips)
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# Test only the cache operations, not NamedTuple creation
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for elem_id in 1:nelems, ip in 1:nips
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state_old = get_old_state(cache, ip, elem_id)
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# Use the old state directly (no new NamedTuple creation)
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set_state!(cache, ip, elem_id, state_old)
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end
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end
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# Warm up
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for _ in 1:10
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test_time_loop_ops(stateful_cache, nelems, nips_per_elem)
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end
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allocs_time_loop = @allocated test_time_loop_ops(stateful_cache, nelems, nips_per_elem)
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println(" Time-stepping loop operations (cache ops only): $allocs_time_loop bytes")
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@test allocs_time_loop == 0
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println(" ✓ Time-stepping workflow: ZERO ALLOCATIONS")
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# ========================================================================
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# 7. Integration Test - Material State Type Inference
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# ========================================================================
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println("\n[7] Testing material state type inference...")
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# Verify that material_state_type correctly infers from traits
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StateType_inferred = JuliaFEM.material_state_type(material)
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@test StateType_inferred === NamedTuple{(),Tuple{}}
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# Verify cache creation uses inferred type
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cache2 = create_global_material_cache(material, n_ips=nips_per_elem, n_elems=nelems)
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@test cache2 isa GlobalMaterialCache{StateType_inferred}
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println(" Inferred state type: $StateType_inferred")
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println(" ✓ Material state type inference works correctly")
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# ========================================================================
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# 8. Performance Benchmark
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# ========================================================================
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println("\n[8] Performance benchmark...")
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# Benchmark state access (should be very fast, zero allocations)
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bench_get_state = @benchmark bench_get_state_func($global_cache, $nelems, $nips_per_elem)
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println(" get_state benchmark:")
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println(" Time: $(round(mean(bench_get_state.times) / 1e6, digits=3)) ms")
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println(" Allocations: $(bench_get_state.allocs)")
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println(" Memory: $(bench_get_state.memory) bytes")
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@test bench_get_state.allocs == 0
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# ========================================================================
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# 9. Summary
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# ========================================================================
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println("\n" * "="^70)
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println("SUMMARY")
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println("="^70)
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println("✓ GlobalMaterialCache created from material traits")
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println("✓ State access: ZERO allocations")
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println("✓ State updates: ZERO allocations")
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println("✓ Time-stepping: ZERO allocations")
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println("✓ Material state type inference: Working")
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println("✓ Integration with cantilever beam: Complete")
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println("="^70)
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end
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