Commit(s): JuliaLang/julia@7e2ce0e5433af4fcaee9f7893f90d80c21316044
Triggered By: link
Tag Predicate: ALL
Daily Job: 2018-05-03 vs 2018-05-02
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", "any/all", "(\"any\", \"UnitRange{Int64}\")"] |
0.67 (15%) ✅ | 1.00 (1%) |
["array", "cat", "(\"catnd\", 5)"] |
1.28 (15%) ❌ | 1.03 (1%) ❌ |
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] |
1.57 (15%) ❌ | 1.00 (1%) |
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] |
1.30 (15%) ❌ | 1.00 (1%) |
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] |
1.57 (15%) ❌ | 1.00 (1%) |
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] |
1.34 (15%) ❌ | 1.00 (1%) |
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] |
1.18 (15%) ❌ | 1.00 (1%) |
["array", "index", "(\"sumlinear_view\", \"100000:-1:1\")"] |
1.81 (50%) ❌ | 1.00 (1%) |
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] |
1.19 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] |
1.25 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] |
1.23 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] |
1.25 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] |
1.23 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivSub!\", 250)"] |
1.19 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivSub!\", 500)"] |
1.21 (15%) ❌ | 1.00 (1%) |
["broadcast", "dotop", "(\"Float64\", (1000, 1000), 2)"] |
1.18 (15%) ❌ | 1.00 (1%) |
["collection", "iteration", "(\"Dict\", \"Any\", \"start\")"] |
0.71 (25%) ✅ | 1.00 (1%) |
["collection", "iteration", "(\"Set\", \"Int\", \"start\")"] |
1.27 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"false\")"] |
1.27 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] |
1.27 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"Dict\", \"Int\", \"pop!\", \"specified\")"] |
1.30 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"Set\", \"Any\", \"in\", \"false\")"] |
1.28 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"Set\", \"Any\", \"in\", \"true\")"] |
1.26 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"Set\", \"Int\", \"first\")"] |
1.26 (25%) ❌ | 1.00 (1%) |
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] |
1.20 (15%) ❌ | 1.00 (1%) |
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] |
2.46 (45%) ❌ | 1.00 (1%) |
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] |
2.45 (45%) ❌ | 1.00 (1%) |
["misc", "parse", "Float64"] |
1.18 (15%) ❌ | 1.00 (1%) |
["misc", "repeat", "(200, 24, 1)"] |
1.10 (15%) | 1.12 (1%) ❌ |
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] |
1.23 (15%) ❌ | 1.00 (1%) |
["problem", "laplacian", "laplace_iter_sub"] |
1.28 (15%) ❌ | 1.00 (1%) |
["problem", "laplacian", "laplace_iter_vec"] |
1.28 (15%) ❌ | 1.00 (1%) |
["problem", "laplacian", "laplace_sparse_matvec"] |
1.15 (15%) ❌ | 1.00 (1%) |
["problem", "ziggurat", "ziggurat"] |
1.25 (15%) ❌ | 1.00 (1%) |
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:1\")"] |
1.57 (25%) ❌ | 1.00 (1%) |
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:4294967295\")"] |
1.29 (25%) ❌ | 1.00 (1%) |
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:4294967297\")"] |
1.26 (25%) ❌ | 1.00 (1%) |
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"BigInt\")"] |
1.80 (50%) ❌ | 1.00 (1%) |
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"Complex{BigInt}\")"] |
1.75 (50%) ❌ | 1.00 (1%) |
["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"] |
2.29 (50%) ❌ | 1.00 (1%) |
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] |
1.25 (15%) ❌ | 1.00 (1%) |
["scalar", "asin", "(\"one\", \"negative argument\", \"Float64\")"] |
1.20 (15%) ❌ | 1.00 (1%) |
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] |
0.84 (15%) ✅ | 1.00 (1%) |
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] |
0.75 (15%) ✅ | 1.00 (1%) |
["scalar", "asin", "(\"zero\", \"Float32\")"] |
0.79 (15%) ✅ | 1.00 (1%) |
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] |
1.22 (15%) ❌ | 1.00 (1%) |
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] |
1.25 (15%) ❌ | 1.00 (1%) |
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] |
0.85 (15%) ✅ | 1.00 (1%) |
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] |
1.26 (15%) ❌ | 1.00 (1%) |
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar", "cbrt", "(\"large\", \"negative argument\", \"Float32\")"] |
0.79 (15%) ✅ | 1.00 (1%) |
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] |
1.22 (15%) ❌ | 1.00 (1%) |
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] |
0.84 (15%) ✅ | 1.00 (1%) |
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] |
1.22 (15%) ❌ | 1.00 (1%) |
["scalar", "fastmath", "(\"add\", \"BigInt\")"] |
1.73 (40%) ❌ | 1.00 (1%) |
["scalar", "predicate", "(\"isless\", \"BigFloat\")"] |
0.50 (40%) ✅ | 1.00 (1%) |
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] |
1.17 (15%) ❌ | 1.00 (1%) |
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] |
0.62 (15%) ✅ | 1.00 (1%) |
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float32\")"] |
0.82 (15%) ✅ | 1.00 (1%) |
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\")"] |
1.25 (15%) ❌ | 1.00 (1%) |
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"negative argument\", \"Float64\")"] |
0.82 (15%) ✅ | 1.00 (1%) |
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] |
1.26 (15%) ❌ | 1.00 (1%) |
["scalar", "sinh", "(\"9f0 <= abs(x) < 88.72283f0\", \"negative argument\", \"Float32\")"] |
0.77 (15%) ✅ | 1.00 (1%) |
["sparse", "transpose", "(\"adjoint!\", (600, 600))"] |
1.30 (30%) ❌ | 1.00 (1%) |
["string", "join"] |
1.45 (40%) ❌ | 1.00 (1%) |
["tuple", "linear algebra", "(\"matmat\", (16, 16), (16, 16))"] |
1.34 (15%) ❌ | 1.00 (1%) |
["tuple", "reduction", "(\"sum\", (8,))"] |
0.83 (15%) ✅ | 1.00 (1%) |
["union", "array", "(\"perf_countequals\", \"Bool\")"] |
1.22 (15%) ❌ | 1.00 (1%) |
["union", "array", "(\"perf_countnothing\", BigInt, false)"] |
1.27 (15%) ❌ | 1.00 (1%) |
Here's a list of all the benchmark groups executed by this job:
["array", "accumulate"]
["array", "any/all"]
["array", "bool"]
["array", "cat"]
["array", "comprehension"]
["array", "convert"]
["array", "equality"]
["array", "growth"]
["array", "index"]
["array", "reductions"]
["array", "reverse"]
["array", "setindex!"]
["array", "subarray"]
["broadcast", "dotop"]
["broadcast", "fusion"]
["broadcast", "mix_scalar_tuple"]
["broadcast", "sparse"]
["broadcast", "typeargs"]
["collection", "deletion"]
["collection", "initialization"]
["collection", "iteration"]
["collection", "optimizations"]
["collection", "queries & updates"]
["collection", "set operations"]
["dates", "accessor"]
["dates", "arithmetic"]
["dates", "construction"]
["dates", "conversion"]
["dates", "parse"]
["dates", "query"]
["dates", "string"]
["find", "findall"]
["find", "findnext"]
["find", "findprev"]
["io", "read"]
["io", "serialization"]
["linalg", "arithmetic"]
["linalg", "blas"]
["linalg", "factorization"]
["micro"]
["misc", "afoldl"]
["misc", "bitshift"]
["misc", "julia"]
["misc", "parse"]
["misc", "repeat"]
["misc", "splatting"]
["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", "acosh"]
["scalar", "arithmetic"]
["scalar", "asin"]
["scalar", "asinh"]
["scalar", "atan"]
["scalar", "atan2"]
["scalar", "atanh"]
["scalar", "cbrt"]
["scalar", "cos"]
["scalar", "cosh"]
["scalar", "exp2"]
["scalar", "expm1"]
["scalar", "fastmath"]
["scalar", "floatexp"]
["scalar", "intfuncs"]
["scalar", "iteration"]
["scalar", "mod2pi"]
["scalar", "predicate"]
["scalar", "rem_pio2"]
["scalar", "sin"]
["scalar", "sincos"]
["scalar", "sinh"]
["scalar", "tan"]
["scalar", "tanh"]
["shootout"]
["simd"]
["sort", "insertionsort"]
["sort", "issorted"]
["sort", "mergesort"]
["sort", "quicksort"]
["sparse", "arithmetic"]
["sparse", "constructors"]
["sparse", "index"]
["sparse", "matmul"]
["sparse", "transpose"]
["string", "findfirst"]
["string"]
["string", "readuntil"]
["tuple", "index"]
["tuple", "linear algebra"]
["tuple", "reduction"]
["union", "array"]
Julia Version 0.7.0-DEV.4983
Commit 7e2ce0e (2018-05-02 20:11 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 8639357 s 261 s 1091810 s 305549766 s 3 s
#2 3501 MHz 50798816 s 0 s 742436 s 264266034 s 1 s
#3 3501 MHz 5925259 s 2371 s 587893 s 309002059 s 4 s
#4 3501 MHz 5742345 s 0 s 734382 s 309251844 s 1 s
Memory: 31.383651733398438 GB (4953.7734375 MB free)
Uptime: 3.160316e6 sec
Load Avg: 0.9228515625 0.998046875 1.0400390625
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)