Commits: JuliaLang/julia@474b9b4965c6b18c3f85f4e49ca6dcf62ea82bde vs JuliaLang/julia@ba4a4b2ad34894aae2deae3963548b82dfe887c6
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", "abstract_call_gf_by_type"] |
1.01 (5%) | 0.96 (1%) ✅ |
["inference", "abstract interpretation", "construct_ssa!"] |
0.99 (5%) | 0.95 (1%) ✅ |
["inference", "abstract interpretation", "domsort_ssa!"] |
1.02 (5%) | 0.98 (1%) ✅ |
["inference", "abstract interpretation", "println(::QuoteNode)"] |
1.09 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "rand(Float64)"] |
1.02 (5%) | 1.03 (1%) ❌ |
["inference", "abstract interpretation", "sin(42)"] |
1.02 (5%) | 0.98 (1%) ✅ |
["inference", "construct_ssa!"] |
0.98 (5%) | 0.98 (1%) ✅ |
["inference", "domsort_ssa!"] |
0.99 (5%) | 0.99 (1%) ✅ |
["inference", "optimization", "println(::QuoteNode)"] |
1.10 (5%) ❌ | 1.00 (1%) |
["inference", "sin(42)"] |
0.97 (5%) | 0.99 (1%) ✅ |
Here's a list of all the benchmark groups executed by this job:
["inference", "abstract interpretation"]
["inference"]
["inference", "optimization"]
Julia Version 1.9.0-DEV.664
Commit 474b9b4965 (2022-05-24 23:39 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 20.04.4 LTS
uname: Linux 5.4.0-113-generic #127-Ubuntu SMP Wed May 18 14:30:56 UTC 2022 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3568 MHz 4898 s 15 s 687 s 745083 s 0 s
#2 2998 MHz 126781 s 0 s 5919 s 618186 s 0 s
#3 3106 MHz 3536 s 0 s 478 s 746379 s 0 s
#4 2809 MHz 3051 s 0 s 456 s 746782 s 0 s
#5 3164 MHz 5475 s 0 s 474 s 742572 s 0 s
#6 2955 MHz 4018 s 0 s 451 s 746294 s 0 s
#7 2558 MHz 2794 s 0 s 454 s 747586 s 0 s
#8 2882 MHz 6852 s 0 s 471 s 743183 s 0 s
Memory: 31.32082748413086 GB (21479.83984375 MB free)
Uptime: 75137.45 sec
Load Avg: 1.0 1.16 1.28
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores
Julia Version 1.9.0-DEV.646
Commit ba4a4b2ad3 (2022-05-24 23:21 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 20.04.4 LTS
uname: Linux 5.4.0-113-generic #127-Ubuntu SMP Wed May 18 14:30:56 UTC 2022 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3270 MHz 5354 s 15 s 714 s 751991 s 0 s
#2 2864 MHz 132658 s 0 s 5986 s 619645 s 0 s
#3 2895 MHz 4352 s 0 s 504 s 752938 s 0 s
#4 3025 MHz 3158 s 0 s 465 s 754063 s 0 s
#5 3241 MHz 5480 s 0 s 482 s 749952 s 0 s
#6 2874 MHz 4025 s 0 s 457 s 753683 s 0 s
#7 3111 MHz 2826 s 0 s 461 s 754950 s 0 s
#8 2587 MHz 6914 s 0 s 478 s 750517 s 0 s
Memory: 31.32082748413086 GB (21519.5546875 MB free)
Uptime: 75877.8 sec
Load Avg: 1.05 1.02 1.11
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores