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Benchmark Report

Job Properties

Commits: JuliaLang/julia@d25d9556ae70b050fd8df7487ed06a83258255be vs JuliaLang/julia@78d9dd05fd100bfc7b062b1063433bb6b81245d1

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", "equality", ("==", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 0.90 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.22 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["array", "index", ("sumlinear_view", "1:100000")] 0.47 (50%) ✅ 1.00 (1%)
["array", "reductions", ("mean", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 0.93 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sum", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sum", "Int64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.28 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_loadmul_fast!"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_loadmul_slow!"] 1.05 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.22 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.84 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 0.84 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 4.42 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 5)] 0.94 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 2.68 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 5.12 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 2.10 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Vector")] 2.00 (25%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "query", ("firstdayofmonth", "DateTime")] 1.58 (25%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 1.15 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "domsort_ssa!"] 1.00 (5%) 1.03 (1%) ❌
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.99 (5%) 1.01 (1%) ❌
["inference", "domsort_ssa!"] 1.02 (5%) 1.03 (1%) ❌
["inference", "optimization", "rand(Float64)"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "rand(Float64)"] 0.99 (5%) 1.01 (1%) ❌
["io", "read", "readstring"] 0.91 (5%) ✅ 1.00 (1%)
["io", "serialization", ("serialize", "Matrix{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.85 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 0.32 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "large Vector")] 1.44 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small Vector")] 1.43 (25%) ❌ 1.00 (1%)
["random", "ranges", ("rand", "ImplicitRNG", "Int", "1:1000")] 1.42 (25%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.25 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x500 -> dense 5x500")] 0.61 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 0.60 (30%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.87 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.86 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.26 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(8,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Float64", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Float64", 1)] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Bool", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Bool", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Float32}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Float64}", 1)] 1.09 (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"]
  • ["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 1.9.0-DEV.306
Commit d25d9556ae (2022-04-02 02:12 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3578 MHz     269786 s        688 s      48472 s   67410252 s          0 s
       #2  3541 MHz    4854195 s        436 s     197963 s   62730318 s          0 s
       #3  3611 MHz     281690 s        391 s      35815 s   67457966 s          0 s
       #4  3537 MHz     188895 s        442 s      34714 s   67267950 s          0 s
  Memory: 31.32097625732422 GB (15684.4765625 MB free)
  Uptime: 6.78410491e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.9.0-DEV.304
Commit 78d9dd05fd (2022-04-01 22:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3585 MHz     270508 s        688 s      48700 s   67510063 s          0 s
       #2  3523 MHz    4949948 s        436 s     201370 s   62732301 s          0 s
       #3  3508 MHz     283098 s        391 s      35858 s   67557629 s          0 s
       #4  3503 MHz     189022 s        442 s      34729 s   67368739 s          0 s
  Memory: 31.32097625732422 GB (15632.55859375 MB free)
  Uptime: 6.7942197e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores