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Benchmark Report

Job Properties

Commit: JuliaLang/julia@c30d45dfdf63c83eb864ebe924a715fe283013b4

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-11-30 vs 2023-11-27

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
["alloc", "arrays"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 1.14 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64}")] 0.87 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "reductions", ("norm1", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 100)] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 1000)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 250)] 1.08 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 500)] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "26942"] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.83 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Set", "concrete", "Nothing")] 2.24 (25%) ❌ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 1.51 (25%) ❌ 1.00 (1%)
["dates", "arithmetic", ("Date", "Month")] 0.87 (5%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 0.94 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findprev", ("Vector{Bool}", "50-50")] 1.07 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 0.98 (5%) 0.95 (1%) ✅
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 0.91 (5%) ✅ 0.96 (1%) ✅
["inference", "abstract interpretation", "broadcasting"] 0.95 (5%) ✅ 0.95 (1%) ✅
["inference", "abstract interpretation", "many_const_calls"] 0.98 (5%) 0.98 (1%) ✅
["inference", "abstract interpretation", "many_global_refs"] 0.96 (5%) 0.95 (1%) ✅
["inference", "abstract interpretation", "many_invoke_calls"] 1.05 (5%) ❌ 0.95 (1%) ✅
["inference", "abstract interpretation", "many_method_matches"] 1.09 (5%) ❌ 0.96 (1%) ✅
["inference", "abstract interpretation", "many_opaque_closures"] 0.98 (5%) 0.95 (1%) ✅
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.98 (5%) 0.96 (1%) ✅
["inference", "abstract interpretation", "rand(Float64)"] 1.06 (5%) ❌ 0.94 (1%) ✅
["inference", "abstract interpretation", "sin(42)"] 1.08 (5%) ❌ 0.94 (1%) ✅
["inference", "allinference", "Base.init_stdio(::Ptr{Cvoid})"] 1.04 (5%) 0.98 (1%) ✅
["inference", "allinference", "REPL.REPLCompletions.completions"] 0.99 (5%) 0.99 (1%) ✅
["inference", "allinference", "broadcasting"] 1.05 (5%) ❌ 0.98 (1%) ✅
["inference", "allinference", "many_const_calls"] 1.05 (5%) 0.99 (1%) ✅
["inference", "allinference", "many_global_refs"] 0.97 (5%) 0.97 (1%) ✅
["inference", "allinference", "println(::QuoteNode)"] 1.04 (5%) 0.98 (1%) ✅
["inference", "allinference", "rand(Float64)"] 1.06 (5%) ❌ 0.98 (1%) ✅
["inference", "allinference", "sin(42)"] 1.07 (5%) ❌ 0.98 (1%) ✅
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.10 (5%) ❌ 0.98 (1%) ✅
["inference", "optimization", "REPL.REPLCompletions.completions"] 0.96 (5%) 0.99 (1%) ✅
["inference", "optimization", "broadcasting"] 1.00 (5%) 0.98 (1%) ✅
["inference", "optimization", "many_const_calls"] 0.96 (5%) 0.98 (1%) ✅
["inference", "optimization", "println(::QuoteNode)"] 1.02 (5%) 0.99 (1%) ✅
["inference", "optimization", "rand(Float64)"] 0.99 (5%) 0.95 (1%) ✅
["io", "read", "readstring"] 0.93 (5%) ✅ 1.00 (1%)
["micro", "fib"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.88 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 1.38 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "array")] 1.07 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "function")] 1.65 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 1.88 (5%) ❌ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 1.05 (5%) ❌ 1.00 (1%)
["misc", "repeat", (200, 24, 1)] 1.05 (5%) ❌ 1.00 (1%)
["problem", "json", "parse_json"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 1.46 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float32", "sin_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very large", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 1.20 (5%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int32", 4095)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int32", 4096)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int64", 4095)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int64", 4096)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int32", 4096)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int64", 4095)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int64", 4096)] 1.28 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 100)] 1.11 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 0)] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int64", 0)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Int64", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Int64}", 1)] 1.06 (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", "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 1.11.0-DEV.989
Commit c30d45dfdf (2023-11-26 16:05 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-76-generic #83-Ubuntu SMP Thu Jun 15 19:16:32 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1   900 MHz     583657 s        154 s     168977 s  126472146 s          0 s
       #2   800 MHz   11583104 s        164 s     312305 s  115351603 s          0 s
       #3  3509 MHz     562121 s        145 s     145396 s  126440365 s          0 s
       #4   800 MHz     464553 s        176 s     156378 s  126481673 s          0 s
       #5   800 MHz     460486 s         94 s     160730 s  126096656 s          0 s
       #6   800 MHz     484384 s        127 s     155416 s  126541454 s          0 s
       #7   800 MHz     514222 s         89 s     176398 s  126527587 s          0 s
       #8  2500 MHz     495111 s         95 s     140701 s  126584512 s          0 s
  Memory: 31.301593780517578 GB (19261.9140625 MB free)
  Uptime: 1.273522974e7 sec
  Load Avg:  1.0  1.01  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores