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Speed up group_by_color (#116)
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* Constant number of allocations in `group_by_color`

* Improvements and benchmark memory

* Remove playground

* Docstrings
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gdalle authored Oct 7, 2024
1 parent c28490d commit e349f50
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Showing 6 changed files with 49 additions and 24 deletions.
2 changes: 1 addition & 1 deletion .github/workflows/Benchmark.yml
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ jobs:
benchpkg ${{ steps.extract-package-name.outputs.package_name }} --rev="${{github.event.repository.default_branch}},${{github.event.pull_request.head.sha}}" --url=${{ github.event.repository.clone_url }} --bench-on="${{github.event.repository.default_branch}}" --output-dir=results/ --tune
- name: Create markdown table from benchmarks
run: |
benchpkgtable ${{ steps.extract-package-name.outputs.package_name }} --rev="${{github.event.repository.default_branch}},${{github.event.pull_request.head.sha}}" --input-dir=results/ --ratio > table.md
benchpkgtable ${{ steps.extract-package-name.outputs.package_name }} --mode="time,memory" --rev="${{github.event.repository.default_branch}},${{github.event.pull_request.head.sha}}" --input-dir=results/ --ratio > table.md
echo '### Benchmark Results' > body.md
echo '' >> body.md
echo '' >> body.md
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8 changes: 4 additions & 4 deletions src/decompression.jl
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ julia> A = sparse([
julia> result = coloring(A, ColoringProblem(), GreedyColoringAlgorithm());
julia> column_groups(result)
julia> collect.(column_groups(result))
3-element Vector{Vector{Int64}}:
[1, 2, 4]
[3, 5]
Expand Down Expand Up @@ -86,7 +86,7 @@ julia> A = sparse([
julia> result = coloring(A, ColoringProblem(), GreedyColoringAlgorithm());
julia> column_groups(result)
julia> collect.(column_groups(result))
3-element Vector{Vector{Int64}}:
[1, 2, 4]
[3, 5]
Expand Down Expand Up @@ -152,7 +152,7 @@ julia> A = sparse([
julia> result = coloring(A, ColoringProblem(), GreedyColoringAlgorithm());
julia> column_groups(result)
julia> collect.(column_groups(result))
3-element Vector{Vector{Int64}}:
[1, 2, 4]
[3, 5]
Expand Down Expand Up @@ -217,7 +217,7 @@ julia> A = sparse([
julia> result = coloring(A, ColoringProblem(), GreedyColoringAlgorithm());
julia> column_groups(result)
julia> collect.(column_groups(result))
3-element Vector{Vector{Int64}}:
[1, 2, 4]
[3, 5]
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2 changes: 1 addition & 1 deletion src/interface.jl
Original file line number Diff line number Diff line change
Expand Up @@ -156,7 +156,7 @@ julia> column_colors(result)
2
3
julia> column_groups(result)
julia> collect.(column_groups(result))
3-element Vector{Vector{Int64}}:
[1, 2, 4]
[3, 5]
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45 changes: 27 additions & 18 deletions src/result.jl
Original file line number Diff line number Diff line change
Expand Up @@ -58,23 +58,32 @@ function row_groups end
"""
group_by_color(color::Vector{Int})
Create `group::Vector{Vector{Int}}` such that `i ∈ group[c]` iff `color[i] == c`.
Create a color-indexed vector `group` such that `i ∈ group[c]` iff `color[i] == c`.
Assumes the colors are contiguously numbered from `1` to some `cmax`.
"""
function group_by_color(color::AbstractVector{<:Integer})
cmin, cmax = extrema(color)
@assert cmin == 1
group_sizes = zeros(Int, cmax)
@assert cmin >= 1
# Compute group sizes and offsets for a joint storage
group_sizes = zeros(Int, cmax) # allocation 1, size cmax
for c in color
group_sizes[c] += 1
end
group = [Vector{Int}(undef, group_sizes[c]) for c in 1:cmax]
fill!(group_sizes, 1)
group_offsets = cumsum(group_sizes) # allocation 2, size cmax
# Concatenate all groups inside a single vector
group_flat = similar(color) # allocation 3, size n
for (k, c) in enumerate(color)
pos = group_sizes[c]
group[c][pos] = k
group_sizes[c] += 1
i = group_offsets[c] - group_sizes[c] + 1
group_flat[i] = k
group_sizes[c] -= 1
end
# Create views into contiguous blocks of the group vector
group = Vector{typeof(view(group_flat, 1:1))}(undef, cmax) # allocation 4, size cmax
for c in 1:cmax
i = 1 + (c == 1 ? 0 : group_offsets[c - 1])
j = group_offsets[c]
group[c] = view(group_flat, i:j)
end
return group
end
Expand Down Expand Up @@ -110,7 +119,7 @@ $TYPEDFIELDS
- [`AbstractColoringResult`](@ref)
"""
struct ColumnColoringResult{M<:AbstractMatrix,G<:BipartiteGraph} <:
struct ColumnColoringResult{M<:AbstractMatrix,G<:BipartiteGraph,V} <:
AbstractColoringResult{:nonsymmetric,:column,:direct}
"matrix that was colored"
A::M
Expand All @@ -119,7 +128,7 @@ struct ColumnColoringResult{M<:AbstractMatrix,G<:BipartiteGraph} <:
"one integer color for each column or row (depending on `partition`)"
color::Vector{Int}
"color groups for columns or rows (depending on `partition`)"
group::Vector{Vector{Int}}
group::V
"flattened indices mapping the compressed matrix `B` to the uncompressed matrix `A` when `A isa SparseMatrixCSC`. They satisfy `nonzeros(A)[k] = vec(B)[compressed_indices[k]]`"
compressed_indices::Vector{Int}
end
Expand Down Expand Up @@ -156,12 +165,12 @@ $TYPEDFIELDS
- [`AbstractColoringResult`](@ref)
"""
struct RowColoringResult{M<:AbstractMatrix,G<:BipartiteGraph} <:
struct RowColoringResult{M<:AbstractMatrix,G<:BipartiteGraph,V} <:
AbstractColoringResult{:nonsymmetric,:row,:direct}
A::M
bg::G
color::Vector{Int}
group::Vector{Vector{Int}}
group::V
compressed_indices::Vector{Int}
end

Expand Down Expand Up @@ -197,12 +206,12 @@ $TYPEDFIELDS
- [`AbstractColoringResult`](@ref)
"""
struct StarSetColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph} <:
struct StarSetColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph,V} <:
AbstractColoringResult{:symmetric,:column,:direct}
A::M
ag::G
color::Vector{Int}
group::Vector{Vector{Int}}
group::V
star_set::StarSet
compressed_indices::Vector{Int}
end
Expand Down Expand Up @@ -241,12 +250,12 @@ $TYPEDFIELDS
- [`AbstractColoringResult`](@ref)
"""
struct TreeSetColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph,R} <:
struct TreeSetColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph,V,R} <:
AbstractColoringResult{:symmetric,:column,:substitution}
A::M
ag::G
color::Vector{Int}
group::Vector{Vector{Int}}
group::V
vertices_by_tree::Vector{Vector{Int}}
reverse_bfs_orders::Vector{Vector{Tuple{Int,Int}}}
buffer::Vector{R}
Expand Down Expand Up @@ -395,12 +404,12 @@ $TYPEDFIELDS
- [`AbstractColoringResult`](@ref)
"""
struct LinearSystemColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph,R,F} <:
struct LinearSystemColoringResult{M<:AbstractMatrix,G<:AdjacencyGraph,V,R,F} <:
AbstractColoringResult{:symmetric,:column,:substitution}
A::M
ag::G
color::Vector{Int}
group::Vector{Vector{Int}}
group::V
strict_upper_nonzero_inds::Vector{Tuple{Int,Int}}
strict_upper_nonzeros_A::Vector{R} # TODO: adjust type
T_factorization::F # TODO: adjust type
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13 changes: 13 additions & 0 deletions test/result.jl
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
using SparseMatrixColorings: group_by_color
using Test

@testset "Group by color" begin
for n in 10 .^ (2, 3, 4), cmax in (1, 2, 10, 100), iteration in 1:10
color = rand(1:cmax, n)
group = group_by_color(color)
@test length(group) == maximum(color)
@test all(1:maximum(color)) do c
all(color[group[c]] .== c) && issorted(group[c])
end
end
end
3 changes: 3 additions & 0 deletions test/runtests.jl
Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,9 @@ include("utils.jl")
@testset "Constructors" begin
include("constructors.jl")
end
@testset "Result" begin
include("result.jl")
end
@testset "Constant coloring" begin
include("constant.jl")
end
Expand Down

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