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Benchmark Report

Job Properties

Commits: JuliaLang/julia@ce4b085f854f6ffa796402a632e7a4e8b89a22c7 vs JuliaLang/julia@ac080c54915477e46380690ffc66c4af487c5ec2

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", "any/all", ("any", "Vector{Float64} generator")] 1.28 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] 1.11 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 3)] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 1.20 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 1.16 (5%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "BitSet", "BitSet")] 1.72 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "Set", "Set")] 1.41 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "Vector", "Vector")] 1.54 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "BitSet")] 0.75 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "Set")] 0.72 (25%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Bool}")] 1.83 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Bool}")] 1.83 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Bool}")] 1.83 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 1.28 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 1.47 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 1.56 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 1.39 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 1.58 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 1.03 (5%) 0.96 (1%) ✅
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 0.97 (5%) 0.89 (1%) ✅
["inference", "abstract interpretation", "broadcasting"] 1.15 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "many_const_calls"] 4.64 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "many_global_refs"] 1.02 (5%) 1.03 (1%) ❌
["inference", "abstract interpretation", "many_invoke_calls"] 1.13 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "many_local_vars"] 5.31 (5%) ❌ 1.04 (1%) ❌
["inference", "abstract interpretation", "many_method_matches"] 1.07 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "many_opaque_closures"] 0.09 (5%) ✅ 0.10 (1%) ✅
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.96 (5%) 0.87 (1%) ✅
["inference", "abstract interpretation", "rand(Float64)"] 1.13 (5%) ❌ 1.03 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 1.13 (5%) ❌ 1.03 (1%) ❌
["inference", "allinference", "REPL.REPLCompletions.completions"] 0.96 (5%) 0.95 (1%) ✅
["inference", "allinference", "broadcasting"] 1.10 (5%) ❌ 1.02 (1%) ❌
["inference", "allinference", "many_const_calls"] 2.35 (5%) ❌ 1.02 (1%) ❌
["inference", "allinference", "many_global_refs"] 1.03 (5%) 1.01 (1%) ❌
["inference", "allinference", "many_invoke_calls"] 1.06 (5%) ❌ 1.01 (1%) ❌
["inference", "allinference", "many_local_vars"] 3.30 (5%) ❌ 1.04 (1%) ❌
["inference", "allinference", "many_method_matches"] 1.09 (5%) ❌ 1.02 (1%) ❌
["inference", "allinference", "many_opaque_closures"] 0.18 (5%) ✅ 0.23 (1%) ✅
["inference", "allinference", "println(::QuoteNode)"] 0.94 (5%) ✅ 0.87 (1%) ✅
["inference", "allinference", "rand(Float64)"] 1.11 (5%) ❌ 1.02 (1%) ❌
["inference", "allinference", "sin(42)"] 1.09 (5%) ❌ 1.02 (1%) ❌
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.08 (5%) ❌ 1.03 (1%) ❌
["inference", "optimization", "broadcasting"] 1.08 (5%) ❌ 1.02 (1%) ❌
["inference", "optimization", "many_invoke_calls"] 1.04 (5%) 1.01 (1%) ❌
["inference", "optimization", "many_local_vars"] 1.26 (5%) ❌ 1.04 (1%) ❌
["inference", "optimization", "many_method_matches"] 1.06 (5%) ❌ 1.01 (1%) ❌
["inference", "optimization", "println(::QuoteNode)"] 1.11 (5%) ❌ 1.01 (1%)
["inference", "optimization", "rand(Float64)"] 1.06 (5%) ❌ 1.02 (1%) ❌
["inference", "optimization", "sin(42)"] 1.10 (5%) ❌ 1.01 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 1.38 (5%) ❌ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.23 (5%) ❌ 1.00 (1%)
["problem", "json", "parse_json"] 1.03 (5%) 1.01 (1%) ❌
["problem", "raytrace", "raytrace"] 3.00 (5%) ❌ 2.03 (1%) ❌
["random", "ranges", ("RangeGenerator", "Int16", "1:1")] 0.67 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int32", "1:1")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int64", "1:1")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int64", "1:4294967295")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int64", "1:4294967297")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int8", "1:1")] 0.68 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt16", "1:1")] 0.67 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt32", "1:1")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt32", "1:4294967295")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt64", "1:1")] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt64", "1:18446744073709551615")] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt64", "1:4294967297")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt8", "1:1")] 0.68 (25%) ✅ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x positive", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float32")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.65 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "cos_kernel")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 0.95 (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", "positive argument", "Float32", "cos_kernel")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 0.95 (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", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "sin_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 0.53 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64", "sin_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "sin_kernel")] 0.95 (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")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float32")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 1.39 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 4, 64)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float64", 4, 64)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 31)] 0.63 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 0.93 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 0.89 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.92 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 1.05 (5%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 1.11 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.09 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 50000"] 1.06 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.17 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 0.86 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, ComplexF64}", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Bool", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Bool}", 1)] 1.05 (5%) 0.80 (1%) ✅
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 1.02 (5%) 0.86 (1%) ✅
["union", "array", ("skipmissing", "sum", "Union{Missing, Float32}", 1)] 1.06 (5%) ❌ 0.80 (1%) ✅
["union", "array", ("skipmissing", "sum", "Union{Missing, Float64}", 1)] 1.03 (5%) 0.80 (1%) ✅
["union", "array", ("skipmissing", "sum", "Union{Missing, Int64}", 1)] 1.04 (5%) 0.80 (1%) ✅
["union", "array", ("skipmissing", "sum", "Union{Missing, Int8}", 1)] 1.04 (5%) 0.80 (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", "allinference"]
  • ["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 1.10.0-DEV.386
Commit ce4b085f85 (2023-01-17 17:13 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 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     554097 s        936 s      99448 s  138308655 s          0 s
       #2  3498 MHz    7515313 s        582 s     207848 s  131301716 s          0 s
       #3  3500 MHz     582140 s        599 s      77068 s  138367328 s          0 s
       #4  3500 MHz     427962 s        520 s      73332 s  138243346 s          0 s
  Memory: 31.320838928222656 GB (16692.59375 MB free)
  Uptime: 1.391463042e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.10.0-DEV.384
Commit ac080c5491 (2023-01-17 16:12 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 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     555056 s        936 s      99724 s  138446404 s          0 s
       #2  3500 MHz    7650722 s        582 s     210579 s  131303125 s          0 s
       #3  3500 MHz     582724 s        599 s      77090 s  138506225 s          0 s
       #4  3500 MHz     428038 s        520 s      73350 s  138382484 s          0 s
  Memory: 31.320838928222656 GB (16735.75390625 MB free)
  Uptime: 1.392858561e7 sec
  Load Avg:  1.27  1.1  1.03
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores