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Benchmark Report

Job Properties

Commits: Zentrik/julia@96cc7dcb7fdc63c797cd7455f54db8bc6f7dda6a vs JuliaLang/julia@21938951366fec778ee1b471e774a8f6b0e03bfb

Comparison Diff: link

Triggered By: link

Tag Predicate: "array"

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["array", "cat", ("hcat_setind", 5)] 1.05 (5%) ❌ 1.00 (1%)
["array", "cat", ("hvcat", 5)] 1.08 (5%) ❌ 1.00 (1%)
["array", "cat", ("hvcat_setind", 5)] 1.13 (5%) ❌ 1.00 (1%)
["array", "convert", ("Complex{Float64}", "Int")] 1.05 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 0.84 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64}")] 0.88 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "index", "3d"] 0.90 (5%) ✅ 1.00 (1%)
["array", "index", "4d"] 0.90 (5%) ✅ 1.00 (1%)
["array", "index", "5d"] 0.89 (5%) ✅ 1.00 (1%)
["array", "index", "6d"] 0.90 (5%) ✅ 1.00 (1%)
["array", "index", "7d"] 0.90 (5%) ✅ 1.00 (1%)
["array", "index", ("mapr_access", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32, 2}")] 2.10 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 2.30 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 2.30 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "Matrix{Int32}")] 2.04 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 2.07 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "SubArray{Int32, 2, Matrix{Int32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 2.03 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 1.53 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcartesian_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcartesian_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.41 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, Base.ReshapedArray{Int32, 2, SubArray{Int32, 3, Array{Int32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 0.33 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.40 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 2.00 (50%) ❌ 1.00 (1%)
["array", "index", ("sumeach_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 1.96 (50%) ❌ 1.00 (1%)
["array", "index", ("sumlinear", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 1.96 (50%) ❌ 1.00 (1%)
["array", "index", ("sumlinear_view", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 2.00 (50%) ❌ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.41 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, Base.ReshapedArray{Int32, 2, SubArray{Int32, 3, Array{Int32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 0.34 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.41 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.46 (50%) ✅ 1.00 (1%)
["array", "reductions", ("norm1", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 100)] 0.92 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 1000)] 0.91 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 250)] 0.91 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 500)] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 1)] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.14 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.85 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 1.06 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Float32", 4, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 31)] 1.64 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 63)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float32", 3, 32)] 2.34 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float32", 4, 32)] 2.23 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float64", 3, 32)] 1.54 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float64", 4, 32)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float64", 4, 63)] 1.27 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int32", 3, 32)] 2.52 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int32", 4, 32)] 2.51 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int64", 3, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int64", 4, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int64", 4, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Float32", 4, 31)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 31)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 32)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 64)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int64", 4, 31)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 2, 31)] 1.38 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 2, 63)] 1.64 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 3, 31)] 1.39 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 3, 63)] 1.70 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 4, 31)] 1.38 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 4, 63)] 1.75 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 2, 31)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 3, 31)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 3, 63)] 1.33 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 3, 64)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 4, 31)] 1.84 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 4, 63)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int32", 2, 63)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int32", 3, 31)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int32", 3, 63)] 1.53 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int32", 4, 31)] 1.42 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int32", 4, 63)] 1.62 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int64", 3, 31)] 1.42 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int64", 3, 63)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int64", 4, 31)] 1.65 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Int64", 4, 63)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 4, 31)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 2, 31)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 2, 63)] 1.66 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 3, 31)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 3, 63)] 1.67 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 4, 31)] 1.45 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 4, 32)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 4, 63)] 1.72 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 2, 31)] 1.52 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 2, 63)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 3, 31)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 3, 63)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 4, 31)] 1.66 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 4, 63)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 31)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 32)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 63)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 31)] 1.42 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 32)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 63)] 1.34 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 64)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 31)] 1.62 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 32)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 63)] 1.43 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 64)] 1.40 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int64", 2, 31)] 1.27 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int64", 3, 31)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int64", 3, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int64", 4, 31)] 1.61 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int64", 4, 63)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_local_arrays", "Int32", 4095)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_local_arrays", "Int32", 4096)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_local_arrays", "Int64", 4095)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_local_arrays", "Int64", 4096)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "local_arrays", "Int32", 4095)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "local_arrays", "Int32", 4096)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "local_arrays", "Int64", 4095)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "local_arrays", "Int64", 4096)] 1.24 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_Bt!", "dense 4000x40, sparse 4000x4000 -> dense 40x4000")] 1.43 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_Bt!", "dense 400x40, sparse 4000x400 -> dense 40x4000")] 1.45 (30%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(true, true)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(true, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, Float64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int64", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Bool", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Int8", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Int8", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, BigInt}", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["array", "accumulate"]
  • ["array", "any/all"]
  • ["array", "bool"]
  • ["array", "cat"]
  • ["array", "comprehension"]
  • ["array", "convert"]
  • ["array", "equality"]
  • ["array", "growth"]
  • ["array", "index"]
  • ["array", "reductions"]
  • ["array", "reverse"]
  • ["array", "setindex!"]
  • ["array", "subarray"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["io", "array_limit"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["misc", "julia"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "laplacian"]
  • ["simd"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.12.0-DEV.1015
Commit 96cc7dcb7f (2024-08-07 22:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3501 MHz     223998 s         86 s      57537 s   50657843 s          0 s
       #2  3501 MHz    2580696 s         64 s      68602 s   48308390 s          0 s
       #3  3500 MHz     162734 s         72 s      29777 s   50760895 s          0 s
       #4  3500 MHz     157672 s         64 s      36799 s   50736159 s          0 s
       #5  3501 MHz     134748 s         57 s      25590 s   50749808 s          0 s
       #6  3503 MHz     147313 s         35 s      34808 s   50503436 s          0 s
       #7  3502 MHz     152711 s         73 s      29232 s   50725475 s          0 s
       #8  3502 MHz     137667 s         43 s      24072 s   50771458 s          0 s
  Memory: 31.30148696899414 GB (23338.19140625 MB free)
  Uptime: 5.09796163e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.12.0-DEV.1012
Commit 2193895136 (2024-08-07 19:48 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     224510 s         86 s      57812 s   50717407 s          0 s
       #2  3499 MHz    2639507 s         64 s      69378 s   48309421 s          0 s
       #3  3501 MHz     163477 s         72 s      29801 s   50820733 s          0 s
       #4  3500 MHz     157740 s         64 s      36803 s   50796691 s          0 s
       #5  3503 MHz     134970 s         57 s      25595 s   50810145 s          0 s
       #6  3501 MHz     147366 s         35 s      34812 s   50563889 s          0 s
       #7  3504 MHz     152725 s         73 s      29235 s   50786070 s          0 s
       #8  3503 MHz     137722 s         43 s      24076 s   50832002 s          0 s
  Memory: 31.30148696899414 GB (23317.05859375 MB free)
  Uptime: 5.10402352e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)