Commit(s): JuliaLang/julia@6e2e213b7172ac5b4d1b84d492cc1c82bc29c7a3 vs JuliaLang/julia@f98856687f94f221295a6adb98530d67301f4076
Triggered By: link
Tag Predicate: ALL
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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 |
---|---|---|
["array","comprehension",("collect","Array{Float64,1}")] |
0.46 (15%) ✅ | 1.00 (1%) |
["array","comprehension",("collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] |
0.69 (15%) ✅ | 1.00 (1%) |
["array","comprehension",("comprehension_collect","Array{Float64,1}")] |
0.64 (15%) ✅ | 1.00 (1%) |
["array","comprehension",("comprehension_collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] |
0.69 (15%) ✅ | 1.00 (1%) |
["array","comprehension",("comprehension_iteration","Array{Float64,1}")] |
0.84 (15%) ✅ | 1.00 (1%) |
["array","growth",("prerend!",2048)] |
1.18 (15%) ❌ | 1.00 (1%) |
["broadcast","mix_scalar_tuple",(3,"scal_tup")] |
1.16 (15%) ❌ | 1.00 (1%) |
["broadcast","mix_scalar_tuple",(3,"tup_tup")] |
1.32 (15%) ❌ | 1.00 (1%) |
["io","read","read"] |
0.80 (15%) ✅ | 1.00 (1%) |
["simd",("sum_reduce","Float32",4095)] |
1.34 (20%) ❌ | 1.00 (1%) |
["tuple","reduction",("minimum",(2,))] |
0.85 (15%) ✅ | 1.00 (1%) |
["tuple","reduction",("sum",(4,))] |
0.82 (15%) ✅ | 1.00 (1%) |
["tuple","reduction",("sum",(8,))] |
0.83 (15%) ✅ | 1.00 (1%) |
["tuple","reduction",("sumabs",(2,2))] |
0.83 (15%) ✅ | 1.00 (1%) |
Here's a list of all the benchmark groups executed by this job:
["array","bool"]
["array","cat"]
["array","comprehension"]
["array","convert"]
["array","growth"]
["array","index"]
["array","reductions"]
["array","reverse"]
["array","setindex!"]
["array","subarray"]
["broadcast","dotop"]
["broadcast","fusion"]
["broadcast","mix_scalar_tuple"]
["broadcast","sparse"]
["broadcast","typeargs"]
["dates","accessor"]
["dates","arithmetic"]
["dates","construction"]
["dates","conversion"]
["dates","parse"]
["dates","query"]
["dates","string"]
["io","read"]
["io","serialization"]
["linalg","arithmetic"]
["linalg","blas"]
["linalg","factorization"]
["micro"]
["misc","afoldl"]
["misc","bitshift"]
["misc","parse"]
["misc","repeat"]
["misc","splatting"]
["nullable","basic"]
["nullable","nullablearray"]
["parallel","remotecall"]
["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"]
["scalar","arithmetic"]
["scalar","fastmath"]
["scalar","floatexp"]
["scalar","intfuncs"]
["scalar","iteration"]
["scalar","predicate"]
["shootout"]
["simd"]
["sort","insertionsort"]
["sort","issorted"]
["sort","mergesort"]
["sort","quicksort"]
["sparse","arithmetic"]
["sparse","index"]
["sparse","transpose"]
["string"]
["tuple","index"]
["tuple","linear algebra"]
["tuple","reduction"]
Julia Version 0.7.0-DEV.268
Commit 6e2e213 (2017-05-21 09:35 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
WORD_SIZE: 64
Ubuntu 14.04.4 LTS
uname: Linux 3.13.0-85-generic #129-Ubuntu SMP Thu Mar 17 20:50:15 UTC 2016 x86_64 x86_64
Memory: 31.383651733398438 GB (3126.4140625 MB free)
Uptime: 3.1016679e7 sec
Load Avg: 0.9228515625 0.998046875 1.0400390625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 64687482 s 0 s 12150718 s 3015795118 s 80 s
#2 3501 MHz 265817740 s 0 s 7639229 s 2826389777 s 12 s
#3 3501 MHz 57840886 s 0 s 6800576 s 3035523284 s 65 s
#4 3501 MHz 54887354 s 0 s 6949948 s 3038330482 s 14 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
Julia Version 0.7.0-DEV.263
Commit f988566 (2017-05-20 19:23 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
WORD_SIZE: 64
Ubuntu 14.04.4 LTS
uname: Linux 3.13.0-85-generic #129-Ubuntu SMP Thu Mar 17 20:50:15 UTC 2016 x86_64 x86_64
Memory: 31.383651733398438 GB (2919.70703125 MB free)
Uptime: 3.1021872e7 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 64783140 s 0 s 12160174 s 3016207378 s 80 s
#2 3501 MHz 266278975 s 0 s 7647774 s 2826438695 s 12 s
#3 3501 MHz 57925468 s 0 s 6809183 s 3035948851 s 65 s
#4 3501 MHz 54971766 s 0 s 6957925 s 3038756828 s 14 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)