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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@9b3f80663dfc66fbedb941981b63e5c582fd1dd0 vs JuliaLang/julia@c3799003d769c434a2507ec472aa3f80f6c39317

Triggered By: link

Tag Predicate: ALL

Results

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}\")"] 1.44 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.28 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 1.34 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.26 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 1.17 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.11 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 0.87 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 5)"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"tup_tup\")"] 1.06 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"false\")"] 1.31 (25%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 0.92 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 0.89 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.07 (5%) ❌ 1.03 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 0.89 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "20517"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 0.81 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 1.09 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand!\", \"ImplicitRNG\", \"large Set\")"] 0.34 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand!\", \"ImplicitRNG\", \"small Set\")"] 0.32 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand!\", \"MersenneTwister\", \"large Set\")"] 0.34 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand!\", \"MersenneTwister\", \"small Set\")"] 0.33 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small Dict\")"] 1.32 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small Set\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"negative argument\", \"Float32\")"] 1.35 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"positive argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"2 <= abs(x) < 2^28\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"BigInt\", \"Complex{BigInt}\")"] 1.52 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"BigInt\")"] 1.52 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"2 <= abs(x) < 2^28\", \"negative argument\", \"Float32\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.68 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"one\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"very small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"BigInt\")"] 1.57 (40%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"sub\", \"BigInt\")"] 1.41 (40%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "predicate", "(\"isequal\", \"Complex{BigInt}\")"] 0.44 (40%) ✅ 1.00 (1%)
["scalar", "predicate", "(\"isinteger\", \"Complex{BigFloat}\")"] 0.45 (40%) ✅ 1.00 (1%)
["scalar", "predicate", "(\"isinteger\", \"UInt64\")"] 0.71 (25%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["shootout", "k_nucleotide"] 0.94 (5%) ✅ 1.00 (1%)
["shootout", "meteor_contest"] 0.93 (5%) ✅ 1.00 (1%)
["shootout", "pidigits"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 1.13 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 100)"] 0.87 (5%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"array\", 1000)"] 1.56 (30%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"logical\", 1000)"] 2.05 (30%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.63 (5%) ✅ 1.00 (1%)
["string", "replace"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.25 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.36 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4,))"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 0.79 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Int64}, false)"] 0.89 (5%) ✅ 1.00 (1%)

Benchmark Group List

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"]
  • ["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", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["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", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.2.0-DEV.16
Commit 9b3f806 (2018-12-14 10:53 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 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   41019799 s       2418 s    7277021 s  2210340397 s         11 s
       #2  3501 MHz  226576490 s         14 s    4036580 s  2033144855 s         18 s
       #3  3501 MHz   32123285 s       3138 s    3714495 s  2227754051 s         26 s
       #4  3501 MHz   30871343 s         11 s    2870990 s  2230917076 s         22 s
       
  Memory: 31.383651733398438 GB (6196.30078125 MB free)
  Uptime: 2.2656225e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.2.0-DEV.14
Commit c379900 (2018-12-14 09:41 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 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   41152653 s       2418 s    7287975 s  2211441149 s         11 s
       #2  3501 MHz  227741380 s         14 s    4052396 s  2033212628 s         18 s
       #3  3501 MHz   32239145 s       3138 s    3721938 s  2228879160 s         26 s
       #4  3501 MHz   30980246 s         11 s    2877942 s  2232049764 s         22 s
       
  Memory: 31.383651733398438 GB (5833.640625 MB free)
  Uptime: 2.2668717e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)