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Benchmark Report

Job Properties

Commits: JuliaLang/julia@9d4e528deddf88a6d6a7b4afe4b0d5858ecb5e89 vs JuliaLang/julia@6e5e87b2cafda840b90347c2e74202d2608d7c29

Comparison Diff: link

Triggered By: link

Tag Predicate: ALL

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", "accumulate", ("cumsum!", "Float64", "dim1")] 1.11 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim2")] 1.11 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum", "Float64", "dim1")] 1.05 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum", "Float64", "dim2")] 1.07 (5%) ❌ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", "4467"] 0.91 (5%) ✅ 1.00 (1%)
["array", "cat", ("hcat", 5)] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.90 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 0.86 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 0.84 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 0.85 (5%) ✅ 1.00 (1%)
["array", "index", "5d"] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 100)] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 0.88 (5%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "intersect!", "BitSet")] 0.67 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "BitSet")] 0.66 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "BitSet")] 0.67 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Month")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.14 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.07 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_global_refs"] 1.64 (5%) ❌ 1.12 (1%) ❌
["inference", "abstract interpretation", "many_invoke_calls"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "allinference", "many_global_refs"] 1.24 (5%) ❌ 1.05 (1%) ❌
["misc", "23042", "Float64"] 0.80 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.51 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.50 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.93 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.81 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.12 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "perf highdim generator"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("zero", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{UInt64}", "Complex{BigInt}")] 1.59 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Int64", "BigInt")] 1.59 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "UInt64", "BigInt")] 1.64 (50%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("0.975 <= abs(x) < 1.0", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("0.975 <= abs(x) < 1.0", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("zero", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float32")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x negative", "Float32")] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float32")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x negative", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float32")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float32")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x negative", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float32")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x positive", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x negative", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float32")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("one", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("zero", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "cos_kernel")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "cos_kernel")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow3", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow3", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("one", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("small", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("small", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("zero", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("small", "negative argument", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("zero", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", "13786"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.76 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float64", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2f0^-12", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["shootout", "k_nucleotide"] 1.06 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 2, 31)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 31)] 1.32 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 63)] 1.36 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 31)] 1.88 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.51 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 63)] 1.57 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float32", 4, 64)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4095)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4096)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!_aliased", "Int32", 4096)] 0.78 (20%) ✅ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.00 (20%) 1.05 (1%) ❌
["sort", "length = 10", "sort(randn(length))"] 0.68 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.84 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 10)] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 10)] 0.92 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 0.94 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.19 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.67 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.69 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.82 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, false)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 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)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(false, false)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(false, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, Int64}", 0)] 0.83 (5%) ✅ 1.00 (1%)

Benchmark Group List

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

  • ["alloc"]
  • ["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"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "mix_scalar_tuple"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["collection", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find", "findall"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "chaosgame"]
  • ["problem", "fem"]
  • ["problem", "go"]
  • ["problem", "grigoriadis khachiyan"]
  • ["problem", "imdb"]
  • ["problem", "json"]
  • ["problem", "laplacian"]
  • ["problem", "monte carlo"]
  • ["problem", "raytrace"]
  • ["problem", "seismic"]
  • ["problem", "simplex"]
  • ["problem", "spellcheck"]
  • ["problem", "stockcorr"]
  • ["problem", "ziggurat"]
  • ["random", "collections"]
  • ["random", "randstring"]
  • ["random", "ranges"]
  • ["random", "sequences"]
  • ["random", "types"]
  • ["scalar", "acos"]
  • ["scalar", "acosh"]
  • ["scalar", "arithmetic"]
  • ["scalar", "asin"]
  • ["scalar", "asinh"]
  • ["scalar", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "atanh"]
  • ["scalar", "cbrt"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "exp2"]
  • ["scalar", "expm1"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "sinh"]
  • ["scalar", "tan"]
  • ["scalar", "tanh"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "issues"]
  • ["sort", "length = 10"]
  • ["sort", "length = 100"]
  • ["sort", "length = 1000"]
  • ["sort", "length = 10000"]
  • ["sort", "length = 3"]
  • ["sort", "length = 30"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.12.0-DEV.1253
Commit 9d4e528ded (2024-09-25 12:54 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     338563 s        158 s     113805 s   92797397 s          0 s
       #2  3499 MHz    1815866 s        112 s      95463 s   91347374 s          0 s
       #3  3500 MHz     213047 s        134 s      57730 s   93008882 s          0 s
       #4  3499 MHz     205984 s         75 s      59003 s   93018117 s          0 s
       #5  3504 MHz     171565 s         61 s      41776 s   92989338 s          0 s
       #6  3500 MHz     183330 s        124 s      48834 s   92527803 s          0 s
       #7  3502 MHz     207178 s         80 s      48017 s   92942274 s          0 s
       #8  3501 MHz     205518 s         70 s      50726 s   92999566 s          0 s
  Memory: 31.30147933959961 GB (20302.31640625 MB free)
  Uptime: 9.33345142e6 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.1249
Commit 6e5e87b2ca (2024-09-25 12:40 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  3497 MHz     339862 s        158 s     114545 s   92943613 s          0 s
       #2  3499 MHz    1961234 s        112 s      97603 s   91348416 s          0 s
       #3  3500 MHz     213712 s        134 s      57748 s   93156729 s          0 s
       #4  3501 MHz     206084 s         75 s      59009 s   93166549 s          0 s
       #5  3500 MHz     171662 s         61 s      41779 s   93137658 s          0 s
       #6  3500 MHz     183385 s        124 s      48839 s   92676050 s          0 s
       #7  3502 MHz     207233 s         80 s      48022 s   93090751 s          0 s
       #8  3503 MHz     205707 s         70 s      50739 s   93147898 s          0 s
  Memory: 31.30147933959961 GB (20283.625 MB free)
  Uptime: 9.3483064e6 sec
  Load Avg:  1.0  1.03  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)