Commit(s): JuliaLang/julia@9b29fe016cf84a31aff5f4a7874226d302f3066b vs JuliaLang/julia@247087d94c1414d83e28d721f263ba4bf050f854
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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", "cat", "(\"catnd\", 5)"] |
1.15 (15%) ❌ | 1.00 (1%) |
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] |
1.37 (15%) ❌ | 1.00 (1%) |
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32,2}\")"] |
1.84 (50%) ❌ | 1.00 (1%) |
["array", "index", "(\"sumvector_view\", \"SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] |
1.64 (50%) ❌ | 1.00 (1%) |
["dates", "parse", "(\"Date\", \"DateFormat\")"] |
0.77 (15%) ✅ | 1.00 (1%) |
["sparse", "matmul", "(\"A_mul_Bc\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"] |
1.14 (30%) | 1.92 (1%) ❌ |
["sparse", "matmul", "(\"A_mul_Bt\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"] |
0.92 (30%) | 0.53 (1%) ✅ |
["sparse", "matmul", "(\"Ac_mul_B\", \"dense 50x50, sparse 50x5 -> dense 50x5\")"] |
1.09 (30%) | 1.94 (1%) ❌ |
["sparse", "matmul", "(\"Ac_mul_Bc\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"] |
0.94 (30%) | 1.92 (1%) ❌ |
["sparse", "matmul", "(\"At_mul_B\", \"dense 50x50, sparse 50x5 -> dense 50x5\")"] |
0.90 (30%) | 0.52 (1%) ✅ |
["sparse", "matmul", "(\"At_mul_Bt\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"] |
0.90 (30%) | 0.53 (1%) ✅ |
Here's a list of all the benchmark groups executed by this job:
["array", "bool"]
["array", "cat"]
["array", "comprehension"]
["array", "convert"]
["array", "growth"]
["array", "index"]
["array", "reductions"]
["array", "reverse"]
["array", "setindex!"]
["array", "subarray"]
["broadcast", "dotop"]
["broadcast", "fusion"]
["broadcast", "mix_scalar_tuple"]
["broadcast", "sparse"]
["broadcast", "typeargs"]
["dates", "accessor"]
["dates", "arithmetic"]
["dates", "construction"]
["dates", "conversion"]
["dates", "parse"]
["dates", "query"]
["dates", "string"]
["io", "read"]
["io", "serialization"]
["linalg", "arithmetic"]
["linalg", "blas"]
["linalg", "factorization"]
["micro"]
["misc", "afoldl"]
["misc", "bitshift"]
["misc", "julia"]
["misc", "parse"]
["misc", "repeat"]
["misc", "splatting"]
["nullable", "basic"]
["nullable", "nullablearray"]
["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", "arithmetic"]
["scalar", "asin"]
["scalar", "atan"]
["scalar", "atan2"]
["scalar", "cos"]
["scalar", "fastmath"]
["scalar", "floatexp"]
["scalar", "intfuncs"]
["scalar", "iteration"]
["scalar", "mod2pi"]
["scalar", "predicate"]
["scalar", "rem_pio2"]
["scalar", "sin"]
["scalar", "tan"]
["shootout"]
["simd"]
["sort", "insertionsort"]
["sort", "issorted"]
["sort", "mergesort"]
["sort", "quicksort"]
["sparse", "arithmetic"]
["sparse", "constructors"]
["sparse", "index"]
["sparse", "matmul"]
["sparse", "transpose"]
["string"]
["string", "readuntil"]
["string", "search"]
["string", "searchindex"]
["tuple", "index"]
["tuple", "linear algebra"]
["tuple", "reduction"]
Julia Version 0.6.2-pre.36
Commit 9b29fe0 (2017-11-10 19:05 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
WORD_SIZE: 64
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
Memory: 31.383651733398438 GB (11381.48828125 MB free)
Uptime: 4.5995765e7 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 92957451 s 0 s 14429968 s 4481902644 s 203 s
#2 3501 MHz 370636222 s 0 s 15654700 s 4205156523 s 70 s
#3 3501 MHz 76562115 s 0 s 8725531 s 4512384935 s 91 s
#4 3501 MHz 71741237 s 0 s 8592948 s 4517755590 s 36 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)
Julia Version 0.6.2-pre.2
Commit 247087d (2017-10-30 18:56 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
WORD_SIZE: 64
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
Memory: 31.383651733398438 GB (10805.3515625 MB free)
Uptime: 4.6002366e7 sec
Load Avg: 1.0029296875 1.0146484375 1.04541015625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3501 MHz 93057195 s 0 s 14440694 s 4482449564 s 203 s
#2 3501 MHz 371237426 s 0 s 15664370 s 4205204871 s 70 s
#3 3501 MHz 76650032 s 0 s 8734015 s 4512947801 s 92 s
#4 3501 MHz 71824863 s 0 s 8601359 s 4518322930 s 36 s
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, haswell)