Port perf/benchmark_matrix_ops.jl to benchmark/*.jl (#742)

benchmark/Project.toml

@@ -2,3 +2,4 @@
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 PkgBenchmark = "32113eaa-f34f-5b0d-bd6c-c81e245fc73d"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"

benchmark/bench_matrix_ops.jl

@@ -0,0 +1,45 @@
+module BenchMatrixOps
+
+import Random
+using BenchmarkTools
+using LinearAlgebra
+using StaticArrays
+
+const suite = BenchmarkGroup()
+const matrix_sizes = if haskey(ENV, "GITHUB_EVENT_PATH")
+    (1, 2, 3, 4, 10, 20)
+else
+    1:20
+end
+
+# Use same arrays across processes (at least with the same Julia version):
+Random.seed!(1234)
+
+# Unary operators
+for f in [det, inv, exp]
+    s1 = suite["$f"] = BenchmarkGroup()
+    for N in matrix_sizes
+        SA = @SMatrix rand(N, N)
+        A = Array(SA)
+        s2 = s1[string(N, pad=2)] = BenchmarkGroup()
+        s2["SMatrix"] = @benchmarkable $f($SA)
+        s2["Matrix"] = @benchmarkable $f($A)
+    end
+end
+
+# Binary operators
+for f in [*, \]
+    s1 = suite["$f"] = BenchmarkGroup()
+    for N in matrix_sizes
+        SA = @SMatrix rand(N, N)
+        SB = @SMatrix rand(N, N)
+        A = Array(SA)
+        B = Array(SB)
+        s2 = s1[string(N, pad=2)] = BenchmarkGroup()
+        s2["SMatrix"] = @benchmarkable $f($SA, $SB)
+        s2["Matrix"] = @benchmarkable $f($A, $B)
+    end
+end
+
+end  # module
+BenchMatrixOps.suite