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Benchmark Report

Job Properties

Commits: JuliaLang/julia@ca57eb093988e5092f1f449d40be72f705880e67 vs JuliaLang/julia@1b686b2633052e21760cc936abe3a54834927948

Comparison Diff: link

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", "cat", ("catnd", 5)] 0.92 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 1.05 (5%) ❌ 1.00 (1%)
["array", "index", "2d"] 1.15 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 0.87 (5%) ✅ 1.00 (1%)
["broadcast", "fusion", ("Float64", "(1000000,)", 2)] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 1.20 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 1.10 (5%) ❌ 1.00 (1%)
["collection", "initialization", ("Dict", "Any", "iterator")] 1.71 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("Dict", "Int", "push!", "new")] 0.51 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.11 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 1.11 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Lowercase")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 1.05 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Titlecase")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt64}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Bool}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 0.89 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "domsort_ssa!"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 1.10 (5%) ❌ 1.00 (1%)
["inference", "optimization", "sin(42)"] 0.76 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 0.92 (5%) ✅ 1.00 (1%)
["micro", "parseint"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 1.17 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.91 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 1.07 (5%) ❌ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 0.87 (5%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:4294967295)")] 1.34 (25%) ❌ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:4294967297)")] 1.26 (25%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("zero", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("zero", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "BigInt", "Int64")] 1.54 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("mul", "Int64", "BigInt")] 1.69 (50%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x positive", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x positive", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("very small", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("very small", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", ("mul", "BigInt")] 1.49 (40%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 2π/4", "positive argument", "Float64")] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float32")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float32")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 4, 31)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 2, 63)] 0.78 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("Ac_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 1.31 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x500 -> dense 5x500")] 1.48 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 1.55 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 5x5, sparse 5x500 -> dense 5x500")] 1.40 (30%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.92 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.76 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 1.88 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 1.22 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 0)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 1)] 1.28 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 0)] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 1)] 1.28 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Float32", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Float64", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int64}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, Float32}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, BigFloat}", 0)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigFloat}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 0.80 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["alloc"]
  • ["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"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference"]
  • ["inference", "optimization"]
  • ["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", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["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", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.9.0-DEV.220
Commit ca57eb0939 (2022-03-19 10:30 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     232822 s        585 s      41269 s   55705886 s          0 s
       #2  3500 MHz    4380611 s        404 s     176006 s   51470718 s          0 s
       #3  3500 MHz     251092 s        352 s      30257 s   55740061 s          0 s
       #4  3500 MHz     165635 s        349 s      29268 s   55576663 s          0 s
  Memory: 31.32097625732422 GB (14940.2265625 MB free)
  Uptime: 5.60762829e6 sec
  Load Avg:  1.13  1.03  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.9.0-DEV.218
Commit 1b686b2633 (2022-03-19 09:28 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     233772 s        585 s      41510 s   55834471 s          0 s
       #2  3500 MHz    4504018 s        404 s     180855 s   51472700 s          0 s
       #3  3500 MHz     251714 s        352 s      30284 s   55869613 s          0 s
       #4  3500 MHz     166250 s        349 s      29296 s   55705928 s          0 s
  Memory: 31.32097625732422 GB (15744.98046875 MB free)
  Uptime: 5.62065249e6 sec
  Load Avg:  1.09  1.03  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores