Commit(s): JuliaLang/julia@71548e86afefe44920a2efcca5656fc75ce65cc7 vs JuliaLang/julia@149f7851299b9559aff32b1263a828026e41f16b
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","convert",("Float64","Int")] |
1.17 (15%) ❌ | 1.00 (1%) |
["array","growth",("prerend!",2048)] |
1.17 (15%) ❌ | 1.00 (1%) |
["broadcast","mix_scalar_tuple",(3,"tup_tup")] |
1.24 (15%) ❌ | 1.00 (1%) |
["dates","arithmetic",("Date","Year")] |
1.17 (15%) ❌ | 1.00 (1%) |
["dates","parse","Date"] |
1.16 (15%) ❌ | 1.00 (1%) |
["misc","parse","Float64"] |
1.16 (15%) ❌ | 1.00 (1%) |
["random","ranges",("rand","MersenneTwister","BigInt","RangeGenerator(1:4294967297)")] |
1.01 (25%) | 0.99 (1%) ✅ |
["random","types",("rand","MersenneTwister","Complex{Int32}")] |
0.67 (25%) ✅ | 1.00 (1%) |
["random","types",("rand","MersenneTwister","UInt32")] |
0.90 (25%) | 0.94 (1%) ✅ |
["scalar","arithmetic",("div","UInt64","Complex{Int64}")] |
1.74 (50%) ❌ | 1.00 (1%) |
["scalar","asin",("0.5 <= abs(x) < 0.975","positive argument","Float64")] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar","asin",("0.975 <= abs(x) < 1.0","negative argument","Float64")] |
0.67 (15%) ✅ | 1.00 (1%) |
["scalar","asin",("0.975 <= abs(x) < 1.0","positive argument","Float64")] |
0.67 (15%) ✅ | 1.00 (1%) |
["scalar","atan2",("abs(y/x) safe (large)","y positive","x negative","Float64")] |
0.81 (15%) ✅ | 1.00 (1%) |
["scalar","atan2",("x one","Float32")] |
0.60 (15%) ✅ | 1.00 (1%) |
["scalar","predicate",("isfinite","Float64")] |
1.28 (25%) ❌ | 1.00 (1%) |
["sparse","constructors",("Bidiagonal",1000)] |
1.17 (15%) ❌ | 1.00 (1%) |
["sparse","constructors",("Tridiagonal",100)] |
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","julia"]
["misc","parse"]
["misc","repeat"]
["misc","splatting"]
["nullable","basic"]
["nullable","nullablearray"]
["parallel","remotecall"]
["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"]
["scalar","acos"]
["scalar","arithmetic"]
["scalar","asin"]
["scalar","atan"]
["scalar","atan2"]
["scalar","cos"]
["scalar","fastmath"]
["scalar","floatexp"]
["scalar","intfuncs"]
["scalar","iteration"]
["scalar","mod2pi"]
["scalar","predicate"]
["scalar","rem_pio2"]
["scalar","sin"]
["scalar","tan"]
["shootout"]
["simd"]
["sort","insertionsort"]
["sort","issorted"]
["sort","mergesort"]
["sort","quicksort"]
["sparse","arithmetic"]
["sparse","constructors"]
["sparse","index"]
["sparse","transpose"]
["string"]
["string","readuntil"]
["string","search"]
["string","searchindex"]
["tuple","index"]
["tuple","linear algebra"]
["tuple","reduction"]
Julia Version 0.7.0-DEV.2034
Commit 71548e8 (2017-10-02 09:49 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
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
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 87761359 s 0 s 13646184 s 4148211009 s 174 s
#2 3501 MHz 353291097 s 0 s 14624992 s 3883748788 s 62 s
#3 3501 MHz 73353624 s 0 s 8386451 s 4175578342 s 82 s
#4 3501 MHz 68696948 s 0 s 8265431 s 4180755003 s 30 s
Memory: 31.383651733398438 GB (4055.328125 MB free)
Uptime: 4.2591417e7 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
WORD_SIZE: 64
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.2031
Commit 149f785 (2017-10-02 09:48 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
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
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 87845090 s 0 s 13656010 s 4148851965 s 174 s
#2 3501 MHz 353980334 s 0 s 14636950 s 3883784251 s 62 s
#3 3501 MHz 73436040 s 0 s 8394034 s 4176224855 s 83 s
#4 3501 MHz 68777404 s 0 s 8273424 s 4181403258 s 30 s
Memory: 31.383651733398438 GB (3722.54296875 MB free)
Uptime: 4.2598791e7 sec
Load Avg: 1.1630859375 1.0478515625 1.05615234375
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)