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Benchmark Report

Job Properties

Commits: JuliaLang/julia@2d6c0bf07addb1e38b70e3d70f4bfb24b77440f6 vs JuliaLang/julia@89a613b5978ecf06566f5778253ca18c3e3fc2e7

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", "comprehension", ("collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 0.55 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("collect", "Vector{Float64}")] 0.24 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 0.55 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "Vector{Float64}")] 0.43 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 0.81 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 0.70 (5%) ✅ 1.00 (1%)
["array", "convert", ("Float64", "Int")] 0.90 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 4.06 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 10)] 1.08 (5%) ❌ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 1.39 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 2.65 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("Vector", "Any", "setindex!")] 0.37 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 3.70 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 2.10 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Vector")] 2.13 (25%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.88 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 1.18 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "construct_ssa!"] 1.05 (5%) ❌ 1.01 (1%)
["inference", "abstract interpretation", "domsort_ssa!"] 1.06 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "rand(Float64)"] 1.04 (5%) 1.02 (1%) ❌
["inference", "domsort_ssa!"] 1.04 (5%) 1.03 (1%) ❌
["inference", "optimization", "println(::QuoteNode)"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "rand(Float64)"] 1.04 (5%) 1.02 (1%) ❌
["micro", "printfd"] 0.85 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Float64"] 1.39 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.93 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.76 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 1.05 (5%) ❌ 1.00 (1%)
["random", "types", ("rand", "MersenneTwister", "Int16")] 1.27 (25%) ❌ 1.00 (1%)
["random", "types", ("rand", "MersenneTwister", "Int64")] 1.32 (25%) ❌ 1.00 (1%)
["random", "types", ("rand", "MersenneTwister", "UInt32")] 1.27 (25%) ❌ 1.00 (1%)
["random", "types", ("rand", "MersenneTwister", "UInt64")] 1.29 (25%) ❌ 1.00 (1%)
["random", "types", ("rand", "MersenneTwister", "UInt8")] 1.27 (25%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 2, 64)] 1.70 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 63)] 1.55 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 0.89 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 100)] 0.92 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 1.07 (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)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.62 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 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,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.93 (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.259
Commit 2d6c0bf07a (2022-03-28 13:06 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  3525 MHz     251150 s        531 s      47968 s   63524177 s          0 s
       #2  3617 MHz    5451580 s        557 s     224190 s   58178897 s          0 s
       #3  3503 MHz     233169 s        463 s      37890 s   63574178 s          0 s
       #4  3397 MHz     157279 s        452 s      36529 s   63380848 s          0 s
  Memory: 31.32097625732422 GB (15578.421875 MB free)
  Uptime: 6.39135655e6 sec
  Load Avg:  1.02  1.03  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.255
Commit 89a613b597 (2022-03-28 03:30 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  3621 MHz     252574 s        531 s      48161 s   63624561 s          0 s
       #2  3553 MHz    5548252 s        557 s     227554 s   58181021 s          0 s
       #3  3600 MHz     233972 s        463 s      37917 s   63675479 s          0 s
       #4  3543 MHz     157357 s        452 s      36540 s   63482722 s          0 s
  Memory: 31.32097625732422 GB (15963.87109375 MB free)
  Uptime: 6.40157305e6 sec
  Load Avg:  1.01  1.05  1.02
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores