Skip to content

Latest commit

 

History

History
351 lines (330 loc) · 20.3 KB

report.md

File metadata and controls

351 lines (330 loc) · 20.3 KB
Raw

Benchmark Report

Job Properties

Commits: JuliaLang/julia@2fe5b419478e056f3badb20ecf33c2d5ffd90036 vs JuliaLang/julia@13751dfdd2fc04d60173fd130e3d131097957b90

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", "any/all", ("any", "Vector{Int16}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.20 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 1.11 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["array", "index", "6d"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 2)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 1.20 (5%) ❌ 1.00 (1%)
["collection", "iteration", ("IdDict", "String", "iterate second")] 1.36 (25%) ❌ 1.00 (1%)
["collection", "iteration", ("IdDict", "String", "iterate")] 1.47 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Vector", "Int", "⊆", "BitSet")] 1.27 (25%) ❌ 1.00 (1%)
["dates", "parse", ("Date", "ISODateFormat")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "query", ("firstdayofmonth", "Date")] 0.65 (25%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int64}")] 1.12 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 1.01 (5%) 1.01 (1%) ❌
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 1.01 (5%) 1.03 (1%) ❌
["inference", "abstract interpretation", "many_opaque_closures"] 1.02 (5%) 1.02 (1%) ❌
["inference", "abstract interpretation", "println(::QuoteNode)"] 1.11 (5%) ❌ 1.10 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "allinference", "REPL.REPLCompletions.completions"] 1.01 (5%) 1.02 (1%) ❌
["inference", "allinference", "many_const_calls"] 0.95 (5%) 0.99 (1%) ✅
["inference", "allinference", "many_global_refs"] 0.99 (5%) 0.93 (1%) ✅
["inference", "allinference", "many_invoke_calls"] 0.92 (5%) ✅ 0.99 (1%)
["inference", "allinference", "many_local_vars"] 0.99 (5%) 0.98 (1%) ✅
["inference", "allinference", "many_opaque_closures"] 1.01 (5%) 1.01 (1%) ❌
["inference", "allinference", "println(::QuoteNode)"] 1.07 (5%) ❌ 1.07 (1%) ❌
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.00 (5%) 0.99 (1%) ✅
["inference", "optimization", "REPL.REPLCompletions.completions"] 1.03 (5%) 0.98 (1%) ✅
["inference", "optimization", "many_global_refs"] 0.99 (5%) 0.89 (1%) ✅
["inference", "optimization", "many_invoke_calls"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_local_vars"] 0.99 (5%) 0.98 (1%) ✅
["inference", "optimization", "many_method_matches"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "optimization", "sin(42)"] 1.02 (5%) 0.98 (1%) ✅
["io", "serialization", ("serialize", "Vector{String}")] 0.87 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "23042", "ComplexF32"] 1.11 (5%) ❌ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "BigFloat", "BigInt")] 1.57 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "BigFloat", "Int64")] 1.70 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "BigFloat", "UInt64")] 1.67 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "BigInt", "BigFloat")] 1.55 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{BigFloat}", "BigInt")] 1.57 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{BigFloat}", "Int64")] 1.71 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{BigFloat}", "UInt64")] 1.69 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Int64", "BigFloat")] 1.61 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("sub", "UInt64", "BigFloat")] 1.59 (50%) ❌ 1.00 (1%)
["scalar", "asin", ("0.975 <= abs(x) < 1.0", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 0.59 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("one", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 2.7755602085408512e-17", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 2.7755602085408512e-17", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very small", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("zero", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 6π/4", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "negative argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "positive argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("very large", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("very large", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "negative argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "positive argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("2f0^-12 <= abs(x) < 1f0", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 0.93 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 2, 31)] 0.79 (20%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.10 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 1.12 (5%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 0.89 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.08 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.55 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.46 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, false)")] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(true, true)")] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 0)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 1)] 1.30 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, false)")] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(true, true)")] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 0)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 1)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, false)")] 1.40 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, true)")] 1.38 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(true, true)")] 1.41 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int8}", 0)] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Bool}", 1)] 1.14 (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 1.9.1
Commit 2fe5b41947 (2023-06-27 15:29 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.2 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     686922 s      50160 s     577066 s  123471762 s          0 s
       #2  3900 MHz   11819302 s      31166 s     633105 s  112553666 s          0 s
       #3  3500 MHz     688248 s      30772 s     451740 s  123805042 s          0 s
       #4  3900 MHz     487175 s      27708 s     408271 s  123726550 s          0 s
  Memory: 31.313323974609375 GB (11059.83203125 MB free)
  Uptime: 1.25357929e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.9.1
Commit 13751dfdd2 (2023-06-22 12:59 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.2 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     688407 s      50160 s     579042 s  123602279 s          0 s
       #2  3515 MHz   11949856 s      31166 s     635521 s  112555545 s          0 s
       #3  3900 MHz     689042 s      30772 s     451799 s  123938953 s          0 s
       #4  3900 MHz     488113 s      27708 s     408321 s  123860004 s          0 s
  Memory: 31.313323974609375 GB (10874.9453125 MB free)
  Uptime: 1.25492783e7 sec
  Load Avg:  1.07  1.05  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores