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Benchmark Report

Job Properties

Commits: JuliaLang/julia@f51853830e899615e21d9c4eccfcf591d380a464 vs JuliaLang/julia@958f647d8e2d7d93b9d158f283e0891e8e9cf0b0

Comparison Diff: link

Triggered By: link

Tag Predicate: !"scalar"

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", "dim2")] 1.09 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 1.32 (5%) ❌ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.93 (5%) ✅ 1.00 (1%)
["array", "cat", ("hcat", 5)] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", ("hvcat", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup_x3")] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 0.35 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 0.91 (5%) ✅ 1.00 (1%)
["collection", "deletion", ("Set", "Int", "filter!")] 0.55 (25%) ✅ 1.00 (1%)
["collection", "initialization", ("Set", "Int", "loop")] 0.63 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 1.25 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 1.42 (25%) ❌ 1.00 (1%)
["dates", "accessor", "hour"] 0.79 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 1.13 (5%) ❌ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.00 (5%) 1.02 (1%) ❌
["inference", "optimization", "sin(42)"] 0.92 (5%) ✅ 1.00 (1%)
["io", "read", "read"] 1.15 (5%) ❌ 1.00 (1%)
["micro", "randmatstat"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "function")] 0.87 (5%) ✅ 1.00 (1%)
["misc", "parse", "Int"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.08 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 31)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 63)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 31)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float32", 4, 32)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.78 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "index", ("spvec", "integer", 10000)] 1.67 (30%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 1.21 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 1.23 (5%) ❌ 1.00 (1%)
["sparse", "transpose", ("transpose", "(20000, 10000)")] 2.07 (30%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 0.91 (5%) ✅ 1.00 (1%)
["string", "join"] 1.59 (40%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1000"] 0.68 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 1.10 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 50000"] 0.70 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 1"] 0.94 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 0.70 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 0)] 0.68 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 0)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigFloat}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Int8}", 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"]
  • ["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.139
Commit f51853830e (2023-07-21 08:29 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.2 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      33810 s         22 s      20792 s   12734447 s          0 s
       #2  3509 MHz     942865 s         17 s      40729 s   11805976 s          0 s
       #3   800 MHz      33382 s         14 s      22317 s   12719030 s          0 s
       #4  2500 MHz      26873 s         16 s      23079 s   12723671 s          0 s
       #5   800 MHz      25627 s         21 s      25619 s   12684188 s          0 s
       #6   800 MHz      29301 s         10 s      25007 s   12728066 s          0 s
       #7   800 MHz      32249 s          3 s      31432 s   12723850 s          0 s
       #8   800 MHz      27940 s          9 s      20186 s   12736087 s          0 s
  Memory: 31.301593780517578 GB (25261.8671875 MB free)
  Uptime: 1.2802438e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores

Comparison Build

Julia Version 1.11.0-DEV.137
Commit 958f647d8e (2023-07-21 03:21 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.2 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      34543 s         22 s      21569 s   12834649 s          0 s
       #2   800 MHz    1041364 s         17 s      42664 s   11807567 s          0 s
       #3   800 MHz      34239 s         14 s      22338 s   12820112 s          0 s
       #4   800 MHz      27322 s         16 s      23087 s   12825136 s          0 s
       #5   800 MHz      25676 s         21 s      25624 s   12786004 s          0 s
       #6  3508 MHz      29335 s         10 s      25012 s   12830047 s          0 s
       #7   800 MHz      32296 s          3 s      31442 s   12825809 s          0 s
       #8  2500 MHz      28210 s          9 s      20196 s   12837821 s          0 s
  Memory: 31.301593780517578 GB (25253.60546875 MB free)
  Uptime: 1.29044645e6 sec
  Load Avg:  1.04  1.02  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores