STL Benchmark

STL benchmark comparing C++ and Julia ⏱

For more information: STL Benchmark Comparison: C++ vs. Julia.

Getting Started

$ git clone --recurse-submodules git@github.com:aaronang/stl-benchmark.git

From the cpp directory:

$ export CC=/usr/bin/clang
$ export CXX=/usr/bin/clang++
$ mkdir build
$ cd build
$ cmake -DCMAKE_BUILD_TYPE=Release ..
$ make -j
$ ./stl_benchmark
2018-10-06 12:35:31
Running ./stl_benchmark
Run on (8 X 2300 MHz CPU s)
CPU Caches:
  L1 Data 32K (x4)
  L1 Instruction 32K (x4)
  L2 Unified 262K (x4)
  L3 Unified 6291K (x1)
--------------------------------------------------
Benchmark           Time           CPU Iterations
--------------------------------------------------
ParseStl       429234 ns     409210 ns       1729

From the julia directory:

$ julia -O3
julia> ]
(v1.0) pkg> activate .
(benchmark) pkg> ^C
julia> using BenchmarkTools
julia> include("stl.jl")
julia> @btime STL.parse("nist.stl")
  211.641 μs (9 allocations: 347.06 KiB)

From the python directory:

$ python benchmark.py
25150.930999999986 μs

Note: Python 3.7.0 is required.

Results

Language	Time
C++	409.210 μs
Julia	211.641 μs
Python	25150.9 μs

Disclaimer

I am neither a C++ nor Julia expert. Please let me know if I biased the results by implementing something obviously inefficiently.