Skip to content

Latest commit

 

History

History
189 lines (168 loc) · 11.2 KB

report.md

File metadata and controls

189 lines (168 loc) · 11.2 KB

Benchmark Report

Job Properties

Commits: matthias314/julia@0f40d5f88205ed44e57dbc141e883694e68290ef vs JuliaLang/julia@e3d366f1966595ba737220df49e220610823b331

Comparison Diff: link

Triggered By: link

Tag Predicate: "array"

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", "bool", "bitarray_true_load!"] 1.05 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 0.95 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.89 (5%) ✅ 1.00 (1%)
["array", "growth", ("append!", 8)] 0.95 (5%) ✅ 1.00 (1%)
["array", "index", "sub2ind"] 0.20 (50%) ✅ 1.00 (1%)
["array", "index", ("mapr_access", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32, 2}")] 4.46 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32, 2}")] 4.02 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "1.0:0.00010001000100010001:2.0")] 0.47 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "1.0:1.0:100000.0")] 0.47 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt", "SubArray{Int32, 2, Base.ReshapedArray{Int32, 2, SubArray{Int32, 3, Array{Int32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt", "SubArray{Int32, 2, Matrix{Int32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.20 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "1.0:0.00010001000100010001:2.0")] 0.45 (50%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.87 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.80 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.93 (5%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.86 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float32", 3, 64)] 1.22 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "index", ("spmat", "integer", 100)] 1.38 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 50x500, dense 500x5 -> dense 50x5")] 1.32 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x500, dense 5x500 -> dense 50x5")] 1.34 (30%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 0)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 1.23 (5%) ❌ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["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", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["io", "array_limit"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["misc", "julia"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "laplacian"]
  • ["simd"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.10.0-DEV.654
Commit 0f40d5f882 (2023-02-22 16:07 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 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      77512 s       5438 s      74312 s   17077020 s          0 s
       #2  3900 MHz    1492636 s       3346 s      86492 s   15687493 s          0 s
       #3  3900 MHz      81703 s       3138 s      65683 s   17107428 s          0 s
       #4  3373 MHz      56970 s       3276 s      62801 s   17115000 s          0 s
  Memory: 31.313323974609375 GB (18582.9296875 MB free)
  Uptime: 1.73038728e6 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 1.10.0-DEV.649
Commit e3d366f196 (2023-02-22 12:58 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 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      78233 s       5528 s      75031 s   17136757 s          0 s
       #2  3900 MHz    1551924 s       3353 s      87314 s   15688997 s          0 s
       #3  3558 MHz      82642 s       3139 s      65717 s   17168022 s          0 s
       #4  3900 MHz      57303 s       3284 s      62823 s   17176138 s          0 s
  Memory: 31.313323974609375 GB (18675.71875 MB free)
  Uptime: 1.73655e6 sec
  Load Avg:  1.0  1.01  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores