Add FastLapackInterface.jl's LU to LinearSolveAutotune

Project.toml

@@ -36,7 +36,6 @@ CUDSS = "45b445bb-4962-46a0-9369-b4df9d0f772e"
 CUSOLVERRF = "a8cc9031-bad2-4722-94f5-40deabb4245c"
 EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
 FastAlmostBandedMatrices = "9d29842c-ecb8-4973-b1e9-a27b1157504e"
-FastLapackInterface = "29a986be-02c6-4525-aec4-84b980013641"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 HYPRE = "b5ffcf37-a2bd-41ab-a3da-4bd9bc8ad771"
 IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"

lib/LinearSolveAutotune/src/LinearSolveAutotune.jl

@@ -156,7 +156,8 @@ end
         samples::Int = 5,
         seconds::Float64 = 0.5,
         eltypes = (Float32, Float64, ComplexF32, ComplexF64),
-        skip_missing_algs::Bool = false)
+        skip_missing_algs::Bool = false,
+        include_fastlapack::Bool = false)
 
 Run a comprehensive benchmark of all available LU factorization methods and optionally:
 
@@ -179,6 +180,7 @@ Run a comprehensive benchmark of all available LU factorization methods and opti
   - `seconds::Float64 = 0.5`: Maximum time per benchmark
   - `eltypes = (Float32, Float64, ComplexF32, ComplexF64)`: Element types to benchmark
   - `skip_missing_algs::Bool = false`: If false, error when expected algorithms are missing; if true, warn instead
+  - `include_fastlapack::Bool = false`: If true and FastLapackInterface.jl is loaded, includes FastLUFactorization in benchmarks
 
 # Returns
 
@@ -199,6 +201,10 @@ results = autotune_setup(sizes = [:small, :medium, :large, :big])
 # Large matrices only
 results = autotune_setup(sizes = [:large, :big], samples = 10, seconds = 1.0)
 
+# Include FastLapackInterface.jl algorithms if available
+using FastLapackInterface
+results = autotune_setup(include_fastlapack = true)
+
 # After running autotune, share results (requires gh CLI or GitHub token)
 share_results(results)
 ```
@@ -209,7 +215,8 @@ function autotune_setup(;
         samples::Int = 5,
         seconds::Float64 = 0.5,
         eltypes = (Float64,),
-        skip_missing_algs::Bool = false)
+        skip_missing_algs::Bool = false,
+        include_fastlapack::Bool = false)
     @info "Starting LinearSolve.jl autotune setup..."
     @info "Configuration: sizes=$sizes, set_preferences=$set_preferences"
     @info "Element types to benchmark: $(join(eltypes, ", "))"
@@ -219,7 +226,7 @@ function autotune_setup(;
     @info "System detected: $(system_info["os"]) $(system_info["arch"]) with $(system_info["num_cores"]) cores"
 
     # Get available algorithms
-    cpu_algs, cpu_names = get_available_algorithms(; skip_missing_algs = skip_missing_algs)
+    cpu_algs, cpu_names = get_available_algorithms(; skip_missing_algs = skip_missing_algs, include_fastlapack = include_fastlapack)
     @info "Found $(length(cpu_algs)) CPU algorithms: $(join(cpu_names, ", "))"
 
     # Add GPU algorithms if available

lib/LinearSolveAutotune/src/algorithms.jl

@@ -1,12 +1,13 @@
 # Algorithm detection and creation functions
 
 """
-    get_available_algorithms(; skip_missing_algs::Bool = false)
+    get_available_algorithms(; skip_missing_algs::Bool = false, include_fastlapack::Bool = false)
 
 Returns a list of available LU factorization algorithms based on the system and loaded packages.
 If skip_missing_algs=false, errors when expected algorithms are missing; if true, warns instead.
+If include_fastlapack=true and FastLapackInterface is loaded, includes FastLUFactorization in benchmarks.
 """
-function get_available_algorithms(; skip_missing_algs::Bool = false)
+function get_available_algorithms(; skip_missing_algs::Bool = false, include_fastlapack::Bool = false)
     algs = []
     alg_names = String[]
 
@@ -68,6 +69,23 @@ function get_available_algorithms(; skip_missing_algs::Bool = false)
     push!(algs, SimpleLUFactorization())
     push!(alg_names, "SimpleLUFactorization")
 
+    # FastLapackInterface LU if requested and available
+    if include_fastlapack
+        try
+            # Try to create a FastLUFactorization to see if the extension is loaded
+            test_alg = FastLUFactorization()
+            push!(algs, test_alg)
+            push!(alg_names, "FastLUFactorization")
+            @info "FastLUFactorization included in benchmarks"
+        catch e
+            if occursin("UndefVarError", string(e))
+                @warn "FastLUFactorization requested but FastLapackInterface.jl not loaded. Load it with: using FastLapackInterface"
+            else
+                @warn "FastLUFactorization requested but not available: $e"
+            end
+        end
+    end
+
     return algs, alg_names
 end