Commits: JuliaLang/julia@cbc7a4a280873f6513b40360ff4d2069bad3eadd vs JuliaLang/julia@c07893d0ab90ef44ea7256fc5877b625761738d3
Comparison Diff: link
Triggered By: link
Tag Predicate: "inference"
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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 |
---|---|---|
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] |
1.00 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] |
1.00 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "broadcasting"] |
1.00 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_const_calls"] |
1.01 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_global_refs"] |
1.02 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_invoke_calls"] |
1.01 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_local_vars"] |
1.01 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_method_matches"] |
1.04 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "many_opaque_closures"] |
1.00 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "println(::QuoteNode)"] |
1.01 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "rand(Float64)"] |
1.02 (5%) | 1.02 (1%) ❌ |
["inference", "abstract interpretation", "sin(42)"] |
1.04 (5%) | 1.02 (1%) ❌ |
["inference", "allinference", "Base.init_stdio(::Ptr{Cvoid})"] |
0.96 (5%) | 1.03 (1%) ❌ |
["inference", "allinference", "REPL.REPLCompletions.completions"] |
0.96 (5%) | 1.04 (1%) ❌ |
["inference", "allinference", "broadcasting"] |
0.96 (5%) | 1.03 (1%) ❌ |
["inference", "allinference", "many_global_refs"] |
0.97 (5%) | 0.99 (1%) ✅ |
["inference", "allinference", "many_invoke_calls"] |
0.92 (5%) ✅ | 1.02 (1%) ❌ |
["inference", "allinference", "many_method_matches"] |
0.96 (5%) | 1.01 (1%) ❌ |
["inference", "allinference", "many_opaque_closures"] |
0.95 (5%) ✅ | 1.03 (1%) ❌ |
["inference", "allinference", "println(::QuoteNode)"] |
0.96 (5%) | 1.02 (1%) ❌ |
["inference", "allinference", "rand(Float64)"] |
0.98 (5%) | 1.02 (1%) ❌ |
["inference", "optimization", "REPL.REPLCompletions.completions"] |
1.04 (5%) | 1.02 (1%) ❌ |
["inference", "optimization", "broadcasting"] |
0.95 (5%) ✅ | 1.05 (1%) ❌ |
["inference", "optimization", "many_const_calls"] |
0.96 (5%) | 1.03 (1%) ❌ |
["inference", "optimization", "many_global_refs"] |
0.92 (5%) ✅ | 0.96 (1%) ✅ |
["inference", "optimization", "many_invoke_calls"] |
0.94 (5%) ✅ | 1.01 (1%) ❌ |
["inference", "optimization", "many_opaque_closures"] |
0.95 (5%) | 1.01 (1%) ❌ |
["inference", "optimization", "println(::QuoteNode)"] |
1.00 (5%) | 1.01 (1%) ❌ |
["inference", "optimization", "rand(Float64)"] |
0.95 (5%) | 0.99 (1%) ✅ |
["inference", "optimization", "sin(42)"] |
0.96 (5%) | 1.03 (1%) ❌ |
Here's a list of all the benchmark groups executed by this job:
["inference", "abstract interpretation"]
["inference", "allinference"]
["inference", "optimization"]
Julia Version 1.11.0-DEV.949
Commit cbc7a4a280 (2023-11-19 12:52 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.3 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
#1 800 MHz 582221 s 123 s 137097 s 116583006 s 0 s
#2 2500 MHz 5701462 s 124 s 213648 s 111286400 s 0 s
#3 800 MHz 567682 s 135 s 184912 s 116547683 s 0 s
#4 3500 MHz 470279 s 93 s 130520 s 116585427 s 0 s
#5 800 MHz 488920 s 107 s 176458 s 116130412 s 0 s
#6 800 MHz 501420 s 70 s 160189 s 116594726 s 0 s
#7 800 MHz 542732 s 141 s 150816 s 116569848 s 0 s
#8 800 MHz 524529 s 112 s 191946 s 116579111 s 0 s
Memory: 31.301593780517578 GB (25454.91796875 MB free)
Uptime: 1.174181344e7 sec
Load Avg: 1.0 1.07 1.78
WORD_SIZE: 64
LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores
Julia Version 1.11.0-DEV.943
Commit c07893d0ab (2023-11-19 10:09 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.3 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
#1 800 MHz 582401 s 123 s 137131 s 116595451 s 0 s
#2 800 MHz 5713138 s 124 s 213674 s 111287404 s 0 s
#3 3900 MHz 568252 s 135 s 184927 s 116559801 s 0 s
#4 800 MHz 470342 s 93 s 130524 s 116598054 s 0 s
#5 800 MHz 488960 s 107 s 176461 s 116143049 s 0 s
#6 800 MHz 501565 s 70 s 160196 s 116607279 s 0 s
#7 3507 MHz 543021 s 141 s 150825 s 116582255 s 0 s
#8 2500 MHz 524617 s 112 s 191952 s 116591721 s 0 s
Memory: 31.301593780517578 GB (25480.32421875 MB free)
Uptime: 1.174308412e7 sec
Load Avg: 1.0 1.0 1.18
WORD_SIZE: 64
LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores