Commit(s): JuliaLang/julia@6be931dc86ec583cef29fb383f31c2212df38657 vs JuliaLang/julia@d0e0e2341987b5b7955632c02a99af12a16c7f1e
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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!\", \"Int\")"] |
0.71 (15%) ✅ | 1.00 (1%) |
["array", "any/all", "(\"all\", \"UnitRange{Int64}\")"] |
1.49 (15%) ❌ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] |
0.83 (15%) ✅ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] |
0.83 (15%) ✅ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] |
0.81 (15%) ✅ | 1.00 (1%) |
["array", "subarray", "(\"lucompletepivSub!\", 500)"] |
0.84 (15%) ✅ | 1.00 (1%) |
["collection", "queries & updates", "(\"Dict\", \"Int\", \"pop!\", \"specified\")"] |
1.32 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"IdDict\", \"Int\", \"push!\", \"new\")"] |
1.43 (25%) ❌ | 1.00 (1%) |
["collection", "queries & updates", "(\"Set\", \"Any\", \"in\", \"false\")"] |
0.74 (25%) ✅ | 1.00 (1%) |
["collection", "queries & updates", "(\"Vector\", \"Int\", \"length\")"] |
1.43 (25%) ❌ | 1.00 (1%) |
["collection", "set operations", "(\"Set\", \"Int\", \"==\", \"self\")"] |
1.34 (25%) ❌ | 1.00 (1%) |
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] |
1.22 (15%) ❌ | 1.00 (1%) |
["find", "findnext", "(\"ispos\", \"Array{Float32,1}\")"] |
1.20 (15%) ❌ | 1.00 (1%) |
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] |
0.84 (15%) ✅ | 1.00 (1%) |
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] |
1.32 (15%) ❌ | 1.00 (1%) |
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] |
1.18 (15%) ❌ | 1.00 (1%) |
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] |
0.82 (15%) ✅ | 1.00 (1%) |
["problem", "laplacian", "laplace_iter_sub"] |
0.82 (15%) ✅ | 1.00 (1%) |
["problem", "laplacian", "laplace_iter_vec"] |
0.79 (15%) ✅ | 1.00 (1%) |
["problem", "laplacian", "laplace_sparse_matvec"] |
0.84 (15%) ✅ | 1.00 (1%) |
["problem", "ziggurat", "ziggurat"] |
0.83 (15%) ✅ | 1.00 (1%) |
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] |
0.72 (25%) ✅ | 1.00 (1%) |
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:170141183460469231731687303715884105728)\")"] |
0.73 (25%) ✅ | 1.00 (1%) |
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] |
0.71 (25%) ✅ | 1.00 (1%) |
["random", "types", "(\"randexp\", \"MersenneTwister\", \"Float16\")"] |
0.74 (25%) ✅ | 1.00 (1%) |
["random", "types", "(\"randn\", \"MersenneTwister\", \"Complex{Float64}\")"] |
1.27 (25%) ❌ | 1.00 (1%) |
["random", "types", "(\"randn\", \"MersenneTwister\", \"Float16\")"] |
0.70 (25%) ✅ | 1.00 (1%) |
["scalar", "arithmetic", "(\"add\", \"BigInt\", \"Int64\")"] |
1.55 (50%) ❌ | 1.00 (1%) |
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] |
0.75 (15%) ✅ | 1.00 (1%) |
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] |
1.50 (15%) ❌ | 1.00 (1%) |
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] |
1.19 (15%) ❌ | 1.00 (1%) |
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] |
0.83 (15%) ✅ | 1.00 (1%) |
["scalar", "cosh", "(\"zero\", \"Float64\")"] |
0.79 (15%) ✅ | 1.00 (1%) |
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] |
0.80 (15%) ✅ | 1.00 (1%) |
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\")"] |
0.82 (15%) ✅ | 1.00 (1%) |
["simd", "(\"conditional_loop!\", \"Int32\", 4095)"] |
0.69 (20%) ✅ | 1.00 (1%) |
["simd", "(\"conditional_loop!\", \"Int32\", 4096)"] |
1.43 (20%) ❌ | 1.00 (1%) |
["simd", "(\"conditional_loop!\", \"Int64\", 4096)"] |
0.77 (20%) ✅ | 1.00 (1%) |
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4095)"] |
0.78 (20%) ✅ | 1.00 (1%) |
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4096)"] |
0.77 (20%) ✅ | 1.00 (1%) |
["simd", "(\"sum_reduce\", \"Int32\", 4096)"] |
0.74 (20%) ✅ | 1.00 (1%) |
["sparse", "index", "(\"spmat\", \"integer\", 1000)"] |
1.48 (30%) ❌ | 1.00 (1%) |
["sparse", "index", "(\"spmat\", \"row\", \"OneTo\", 1000)"] |
0.62 (30%) ✅ | 1.00 (1%) |
["sparse", "matmul", "(\"At_mul_B!\", \"dense 40x4000, sparse 40x40 -> dense 4000x40\")"] |
1.42 (30%) ❌ | 1.00 (1%) |
["tuple", "reduction", "(\"sumabs\", (4,))"] |
0.82 (15%) ✅ | 1.00 (1%) |
["union", "array", "(\"perf_simplecopy\", Bool, true)"] |
0.76 (15%) ✅ | 1.00 (1%) |
["union", "array", "(\"perf_sum2\", Int8, true)"] |
1.17 (15%) ❌ | 1.00 (1%) |
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] |
1.21 (15%) ❌ | 1.00 (1%) |
["union", "array", "(\"perf_sum\", Bool, true)"] |
1.16 (15%) ❌ | 1.00 (1%) |
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] |
0.74 (15%) ✅ | 1.00 (1%) |
["union", "array", "(\"skipmissing\", sum, Int8, false)"] |
0.79 (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-beta.47
Commit 6be931d (2018-06-27 03:21 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 19275692 s 259 s 2853495 s 767497400 s 5 s
#2 3501 MHz 96928721 s 0 s 1522526 s 692806791 s 6 s
#3 3501 MHz 14195978 s 2389 s 1612314 s 775554540 s 12 s
#4 3501 MHz 13693228 s 4 s 1248678 s 776794656 s 4 s
Memory: 31.383651733398438 GB (4898.82421875 MB free)
Uptime: 7.92084e6 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-6.0.0 (ORCJIT, haswell)
Julia Version 0.7.0-beta.44
Commit d0e0e23 (2018-06-27 03:06 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 19396612 s 259 s 2865357 s 768384623 s 5 s
#2 3501 MHz 97851269 s 0 s 1534024 s 692896490 s 6 s
#3 3501 MHz 14340525 s 2389 s 1621166 s 776424623 s 12 s
#4 3501 MHz 13807000 s 4 s 1257737 s 777695370 s 4 s
Memory: 31.383651733398438 GB (4957.4375 MB free)
Uptime: 7.931084e6 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-6.0.0 (ORCJIT, haswell)