Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Measure cpu-time and real-time and report both #94

Draft
wants to merge 8 commits into
base: master
Choose a base branch
from
Draft
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion LICENSE.md
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
The BenchmarkTools.jl package is licensed under the MIT "Expat" License:

> Copyright (c) 2015: Jarrett Revels.
> Copyright (c) 2015-2018: Jarrett Revels and other contributors:
> https://github.com/JuliaCI/BenchmarkTools.jl/contributors
>
> Permission is hereby granted, free of charge, to any person obtaining
> a copy of this software and associated documentation files (the
Expand Down
8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ The simplest usage is via the [`@btime` macro](https://github.com/JuliaCI/Benchm
julia> using BenchmarkTools, Compat # you need to use both modules

julia> @btime sin(1)
15.081 ns (0 allocations: 0 bytes)
7.317 ns [100.10% CPU, 0.00% GC] (0 allocations: 0 bytes)
0.8414709848078965
```

Expand All @@ -47,13 +47,13 @@ If the expression you want to benchmark depends on external variables, you shoul
julia> A = rand(3,3);

julia> @btime inv($A); # we interpolate the global variable A with $A
1.191 μs (10 allocations: 2.31 KiB)
545.840 ns [100.02% CPU, 0.00% GC] (5 allocations: 1.98 KiB)

julia> @btime inv($(rand(3,3))); # interpolation: the rand(3,3) call occurs before benchmarking
1.192 μs (10 allocations: 2.31 KiB)
547.738 ns [100.03% CPU, 0.00% GC] (5 allocations: 1.98 KiB)

julia> @btime inv(rand(3,3)); # the rand(3,3) call is included in the benchmark time
1.295 μs (11 allocations: 2.47 KiB)
621.614 ns [100.03% CPU, 0.00% GC] (6 allocations: 2.14 KiB)
```

As described the [manual](doc/manual.md), the BenchmarkTools package supports many other features, both for additional output and for more fine-grained control over the benchmarking process.
Expand Down
Loading