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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@0ea914c26ae23aacd5b898ac6ef25c08d99d821d vs JuliaLang/julia@966a9b9ded411633ad532c536c45450cea2a704c

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", "accumulate", "(\"accumulate!\", \"Float64\")"] 1.34 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"accumulate!\", \"Int\")"] 1.70 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"accumulate\", \"Float64\")"] 1.29 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"accumulate\", \"Int\")"] 1.37 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum!\", \"Float64\")"] 1.26 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum!\", \"Int\")"] 1.72 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Int\")"] 1.36 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_true_load!"] 1.13 (5%) ❌ 1.00 (1%)
["array", "convert", "(\"Float64\", \"Int\")"] 1.12 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1} == UnitRange{Int64}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 1.14 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 1.13 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 8)"] 0.84 (5%) ✅ 1.00 (1%)
["array", "index", "(\"sumcartesian\", \"100000:-1:1\")"] 1511.05 (50%) ❌ 1.00 (1%)
["array", "index", "(\"sumeach\", \"100000:-1:1\")"] 1511.18 (50%) ❌ 1.00 (1%)
["array", "index", "(\"sumlinear\", \"100000:-1:1\")"] 1445.39 (50%) ❌ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"perf_reduce\", \"Int64\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs2\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "26942"] 0.61 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 10)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 0.94 (5%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Set\", \"String\", \"filter\")"] 1.30 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"Any\", \"iterate\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Set\", \"Int\", \"iterate second\")"] 1.41 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Set\", \"Int\", \"iterate\")"] 1.53 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Set\", \"String\", \"iterate second\")"] 1.27 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"IdDict\", \"Any\", \"in\", \"true\")"] 1.70 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"IdDict\", \"String\", \"setindex!\", \"new\")"] 1.48 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"in\", \"true\")"] 1.33 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"first\")"] 1.32 (25%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"90-10\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float32,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 0.93 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 1.09 (5%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"cumsum!\", Int32, 1024)"] 1.50 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"cumsum!\", Int32, 256)"] 1.46 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"cumsum!\", Int64, 1024)"] 1.66 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"cumsum!\", Int64, 256)"] 1.80 (45%) ❌ 1.00 (1%)
["misc", "18129"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "afoldl", "Int"] 0.31 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.38 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float32"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float64"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x positive\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float32\")"] 0.94 (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", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"one\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"BigInt\")"] 1.64 (40%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.42 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 3π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.36 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["simd", "(\"auto_conditional_loop!\", \"Int32\", 4095)"] 0.68 (20%) ✅ 1.00 (1%)
["simd", "(\"auto_conditional_loop!\", \"Int32\", 4096)"] 0.70 (20%) ✅ 1.00 (1%)
["simd", "(\"auto_conditional_loop!\", \"Int64\", 4095)"] 0.70 (20%) ✅ 1.00 (1%)
["simd", "(\"auto_conditional_loop!\", \"Int64\", 4096)"] 0.68 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!\", \"Int32\", 4095)"] 0.68 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!\", \"Int32\", 4096)"] 0.67 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!\", \"Int64\", 4095)"] 0.72 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!\", \"Int64\", 4096)"] 0.69 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int32\", 4095)"] 0.68 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int32\", 4096)"] 0.67 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4095)"] 0.68 (20%) ✅ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4096)"] 0.69 (20%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 1000)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 1.12 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B\", \"dense 50x5, sparse 50x500 -> dense 5x500\")"] 0.69 (30%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1"] 0.89 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.57 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Bool, (true, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int64, (false, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, true)"] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, true)"] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int8, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, false))"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, false))"] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (true, true))"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (false, true))"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, false))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, true))"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, false))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, false)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, true))"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (true, true))"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Bool\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Complex{Float64}\")"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 0.73 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int64, false)"] 1.34 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int64, true)"] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.39 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int64, false)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int64, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Missing, Complex{Float64}}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Nothing, BigInt}, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Complex{Float64}, false)"] 0.44 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Bool}, false)"] 1.57 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Int64}, false)"] 0.53 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Missing, Int8}, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Float64}, false)"] 0.73 (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 1.5.0-DEV.376
Commit 0ea914c (2020-03-01 02:17 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  125390050 s       5052 s   14495923 s  5933835611 s         33 s
       #2  3501 MHz  932120392 s        217 s   17884632 s  5132998546 s         26 s
       #3  3501 MHz  109753186 s       3277 s    8569262 s  5964837337 s         36 s
       #4  3501 MHz  102854924 s         43 s   12330761 s  5965581713 s         26 s
       
  Memory: 31.383651733398438 GB (18735.3125 MB free)
  Uptime: 6.0875513e7 sec
  Load Avg:  1.064453125  1.02978515625  1.04931640625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.5.0-DEV.374
Commit 966a9b9 (2020-02-29 21:17 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  125534586 s       5052 s   14505658 s  5935094237 s         33 s
       #2  3501 MHz  933425969 s        217 s   17911450 s  5133083643 s         26 s
       #3  3501 MHz  109907145 s       3277 s    8575547 s  5966093838 s         36 s
       #4  3501 MHz  103014832 s         43 s   12336802 s  5966833227 s         26 s
       
  Memory: 31.383651733398438 GB (18383.25 MB free)
  Uptime: 6.0889692e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)