Commit(s): JuliaLang/julia@a696b0f8388f961b2358f10e8e9dcad129bb61b5 vs JuliaLang/julia@9f200a5f3d62ab7de6f02d2d835944d82fab2591
Triggered By: link
Tag Predicate: ALL
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","comprehension",("collect","Array{Float64,1}")] |
1.64 (15%) ❌ | 1.00 (1%) |
["array","comprehension",("collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] |
1.22 (15%) ❌ | 1.00 (1%) |
["array","comprehension",("comprehension_collect","Array{Float64,1}")] |
1.17 (15%) ❌ | 1.00 (1%) |
["array","comprehension",("comprehension_collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] |
1.21 (15%) ❌ | 1.00 (1%) |
["array","index",("sumvector_view","100000:-1:1")] |
1.53 (50%) ❌ | 1.00 (1%) |
["array","index",("sumvector_view","SubArray{Float32,2,Array{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] |
1.55 (50%) ❌ | 1.00 (1%) |
["array","index",("sumvector_view","SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}")] |
1.57 (50%) ❌ | 1.00 (1%) |
["array","index",("sumvector_view","SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] |
1.65 (50%) ❌ | 1.00 (1%) |
["array","subarray",("lucompletepivCopy!",1000)] |
1.18 (15%) ❌ | 1.00 (1%) |
["array","subarray",("lucompletepivCopy!",250)] |
1.18 (15%) ❌ | 1.00 (1%) |
["array","subarray",("lucompletepivCopy!",500)] |
1.20 (15%) ❌ | 1.00 (1%) |
["array","subarray",("lucompletepivSub!",1000)] |
1.18 (15%) ❌ | 1.00 (1%) |
["array","subarray",("lucompletepivSub!",500)] |
1.17 (15%) ❌ | 1.00 (1%) |
["problem","laplacian","laplace_iter_vec"] |
1.16 (15%) ❌ | 1.00 (1%) |
["scalar","arithmetic",("add","Complex{Int64}","Complex{Int64}")] |
1.39 (25%) ❌ | 1.00 (1%) |
["scalar","arithmetic",("add","Complex{UInt64}","Complex{UInt64}")] |
0.72 (25%) ✅ | 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 0.6.0-pre.beta.115
Commit a696b0f (2017-04-12 16:59 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 (2743.31640625 MB free)
Uptime: 2.7668161e7 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 53949595 s 0 s 10500268 s 2694327715 s 75 s
#2 3501 MHz 215546802 s 0 s 6471041 s 2543184634 s 11 s
#3 3501 MHz 47936216 s 0 s 5731884 s 2711821367 s 57 s
#4 3501 MHz 45322641 s 0 s 5867904 s 2714305637 s 12 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
Julia Version 0.6.0-pre.beta.112
Commit 9f200a5 (2017-04-12 16:41 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 (2537.91015625 MB free)
Uptime: 2.7673466e7 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 54030349 s 0 s 10509754 s 2694765854 s 75 s
#2 3501 MHz 216035092 s 0 s 6479975 s 2543217319 s 11 s
#3 3501 MHz 48019549 s 0 s 5740234 s 2712259529 s 57 s
#4 3501 MHz 45403099 s 0 s 5876052 s 2714746912 s 12 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)