Commits: JuliaLang/julia@1bf1167af59150106c4a5231f4951f34fcd0091c vs JuliaLang/julia@489d076452130c718c7d77b157b0d503bfc31602
Comparison Diff: link
Triggered By: link
Tag Predicate: !"scalar"
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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 |
|---|---|---|
["alloc", "grow_array"] |
0.92 (5%) ✅ | 1.00 (1%) |
["alloc", "strings"] |
0.95 (5%) ✅ | 1.00 (1%) |
["array", "bool", "bitarray_bool_load!"] |
0.94 (5%) ✅ | 1.00 (1%) |
["array", "bool", "boolarray_bool_load!"] |
1.06 (5%) ❌ | 1.00 (1%) |
["array", "cat", ("catnd", 5)] |
1.06 (5%) ❌ | 1.00 (1%) |
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] |
0.95 (5%) ✅ | 1.00 (1%) |
["array", "equality", ("==", "UnitRange{Int64}")] |
0.92 (5%) ✅ | 1.00 (1%) |
["array", "equality", ("isequal", "UnitRange{Int64}")] |
1.20 (5%) ❌ | 1.00 (1%) |
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] |
0.87 (5%) ✅ | 1.00 (1%) |
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] |
1.06 (5%) ❌ | 1.00 (1%) |
["array", "reductions", ("sumabs2", "Float64")] |
1.10 (5%) ❌ | 1.00 (1%) |
["array", "reverse", "rev_load_fast!"] |
0.94 (5%) ✅ | 1.00 (1%) |
["broadcast", "typeargs", ("tuple", 10)] |
0.89 (5%) ✅ | 1.00 (1%) |
["collection", "optimizations", ("Vector", "concrete", "Nothing")] |
0.57 (25%) ✅ | 1.00 (1%) |
["dates", "parse", ("DateTime", "DateFormat")] |
1.05 (5%) ❌ | 1.00 (1%) |
["find", "findall", ("> q0.95", "Vector{UInt8}")] |
1.07 (5%) ❌ | 1.00 (1%) |
["find", "findall", ("BitVector", "50-50")] |
1.07 (5%) ❌ | 1.00 (1%) |
["find", "findall", ("Vector{Bool}", "90-10")] |
1.06 (5%) ❌ | 1.00 (1%) |
["find", "findnext", ("BitVector", "10-90")] |
0.95 (5%) ✅ | 1.00 (1%) |
["find", "findnext", ("ispos", "Vector{Bool}")] |
1.16 (5%) ❌ | 1.00 (1%) |
["find", "findnext", ("ispos", "Vector{UInt8}")] |
1.05 (5%) ❌ | 1.00 (1%) |
["find", "findprev", ("ispos", "Vector{Bool}")] |
1.10 (5%) ❌ | 1.00 (1%) |
["find", "findprev", ("ispos", "Vector{Int64}")] |
0.94 (5%) ✅ | 1.00 (1%) |
["find", "findprev", ("ispos", "Vector{Int8}")] |
0.91 (5%) ✅ | 1.00 (1%) |
["find", "findprev", ("ispos", "Vector{UInt64}")] |
1.16 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "many_opaque_closures"] |
1.02 (5%) | 1.05 (1%) ❌ |
["inference", "allinference", "many_opaque_closures"] |
1.01 (5%) | 1.01 (1%) ❌ |
["inference", "optimization", "many_local_vars"] |
0.95 (5%) ✅ | 1.00 (1%) |
["io", "serialization", ("serialize", "Matrix{Float64}")] |
0.92 (5%) ✅ | 1.00 (1%) |
["linalg", "arithmetic", ("3-arg mul!", 2)] |
1.58 (45%) ❌ | 1.00 (1%) |
["misc", "23042", "ComplexF64"] |
0.91 (5%) ✅ | 1.00 (1%) |
["misc", "allocation elision view", "conditional"] |
1.53 (5%) ❌ | 1.00 (1%) |
["misc", "allocation elision view", "no conditional"] |
0.65 (5%) ✅ | 1.00 (1%) |
["misc", "bitshift", ("UInt32", "UInt32")] |
0.92 (5%) ✅ | 1.00 (1%) |
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] |
3.03 (5%) ❌ | 1.00 (1%) |
["misc", "perf highdim generator"] |
0.91 (5%) ✅ | 1.00 (1%) |
["problem", "raytrace", "raytrace"] |
1.05 (5%) ❌ | 1.00 (1%) |
["problem", "simplex", "simplex"] |
0.92 (5%) ✅ | 1.00 (1%) |
["random", "collections", ("rand", "ImplicitRNG", "large BitSet")] |
1.47 (25%) ❌ | 1.00 (1%) |
["random", "collections", ("rand", "MersenneTwister", "large Set")] |
0.65 (25%) ✅ | 1.00 (1%) |
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] |
0.78 (20%) ✅ | 1.00 (1%) |
["sparse", "constructors", ("Diagonal", 1000)] |
1.05 (5%) ❌ | 1.00 (1%) |
["sparse", "constructors", ("IJV", 1000)] |
0.95 (5%) ✅ | 1.00 (1%) |
["sparse", "constructors", ("SymTridiagonal", 100)] |
1.08 (5%) ❌ | 1.00 (1%) |
["sparse", "constructors", ("Tridiagonal", 100)] |
1.10 (5%) ❌ | 1.00 (1%) |
["sparse", "sparse solves", "square system (ldlt), matrix rhs"] |
1.09 (5%) ❌ | 1.00 (1%) |
["sparse", "sparse solves", "square system (ldlt), vector rhs"] |
1.10 (5%) ❌ | 1.00 (1%) |
["string", "join"] |
0.54 (40%) ✅ | 1.00 (1%) |
["string", "readuntil", "target length 1"] |
1.19 (5%) ❌ | 1.00 (1%) |
["string", "readuntil", "target length 50000"] |
1.09 (5%) ❌ | 1.00 (1%) |
["string", "replace"] |
0.95 (5%) ✅ | 1.00 (1%) |
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] |
1.14 (5%) ❌ | 1.00 (1%) |
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] |
0.75 (5%) ✅ | 1.00 (1%) |
["tuple", "misc", "11899"] |
1.20 (5%) ❌ | 1.00 (1%) |
["tuple", "reduction", ("minimum", "(2, 2)")] |
1.06 (5%) ❌ | 1.00 (1%) |
["tuple", "reduction", ("sum", "(16,)")] |
1.19 (5%) ❌ | 1.00 (1%) |
["tuple", "reduction", ("sum", "(2, 2)")] |
1.20 (5%) ❌ | 1.00 (1%) |
["tuple", "reduction", ("sum", "(4, 4)")] |
1.24 (5%) ❌ | 1.00 (1%) |
["tuple", "reduction", ("sumabs", "(16,)")] |
0.80 (5%) ✅ | 1.00 (1%) |
["tuple", "reduction", ("sumabs", "(2,)")] |
0.67 (5%) ✅ | 1.00 (1%) |
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] |
0.93 (5%) ✅ | 1.00 (1%) |
["union", "array", ("broadcast", "abs", "BigFloat", 0)] |
0.94 (5%) ✅ | 1.00 (1%) |
["union", "array", ("broadcast", "abs", "BigFloat", 1)] |
1.06 (5%) ❌ | 1.00 (1%) |
["union", "array", ("broadcast", "abs", "BigInt", 1)] |
1.05 (5%) ❌ | 1.00 (1%) |
["union", "array", ("broadcast", "abs", "Int64", 0)] |
0.94 (5%) ✅ | 1.00 (1%) |
["union", "array", ("map", "abs", "BigFloat", 0)] |
0.90 (5%) ✅ | 1.00 (1%) |
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] |
0.95 (5%) ✅ | 1.00 (1%) |
["union", "array", ("skipmissing", "collect", "Union{Missing, Float64}", 1)] |
1.05 (5%) ❌ | 1.00 (1%) |
["union", "array", ("skipmissing", "filter", "Union{Nothing, Bool}", 0)] |
0.94 (5%) ✅ | 1.00 (1%) |
["union", "array", ("skipmissing", "keys", "Union{Missing, Int64}", 1)] |
0.95 (5%) ✅ | 1.00 (1%) |
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"]
Julia Version 1.10.0-DEV.861
Commit 1bf1167af5 (2023-03-23 02:01 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 3522 MHz 159313 s 17242 s 201990 s 41302346 s 0 s
#2 3900 MHz 1112930 s 14421 s 219368 s 40414266 s 0 s
#3 3900 MHz 157301 s 14283 s 191936 s 41344311 s 0 s
#4 3900 MHz 132292 s 13148 s 199622 s 41330366 s 0 s
Memory: 31.313323974609375 GB (23164.125 MB free)
Uptime: 4.18654299e6 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
Julia Version 1.10.0-DEV.859
Commit 489d076452 (2023-03-23 01:23 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 160277 s 17472 s 204292 s 41402180 s 0 s
#2 3900 MHz 1213734 s 14421 s 221316 s 40415592 s 0 s
#3 3507 MHz 158395 s 14283 s 191979 s 41447038 s 0 s
#4 3900 MHz 132573 s 13148 s 199662 s 41433878 s 0 s
Memory: 31.313323974609375 GB (23073.3515625 MB free)
Uptime: 4.19695116e6 sec
Load Avg: 1.0 1.03 1.07
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
Threads: 1 on 4 virtual cores