Comments (1)
One of the issues is that frequency scaling introduces variance into the system. If your question is "how fast is this code running on my system", that doesn't matter as much.
But one of the core usages is to compare different benchmarks with each other and to do that reliably reducing variance is important. So I think the advise is generally still valid.
from benchmarktools.jl.
Related Issues (20)
- `@btime` has constant runtime whereas `@time` is dependent on input HOT 4
- Unrealistic values of same tests after repeated executions HOT 8
- Document units of memory and time properties of Trial type
- Automatically create keys in BenchmarkGroup
- Memory estimate?
- Re-edit docs for multiple setup
- Add logo? HOT 26
- Run docs examples during CI instead of copypasting outputs
- `tune!` on benchmarkable with evals set. HOT 4
- @benchmark creates new symbol for each interpolation of a symbol HOT 3
- Removing `leaves` export HOT 5
- Remember keyword parameters for `tune!` HOT 3
- [Feature Request] Comparing two functions HOT 1
- Memory leak when repeatedly benchmarking HOT 1
- is `@benchmarkset` usable ? HOT 1
- Tag non-breaking release of BenchmarkTools.jl? HOT 5
- Feature request: asynchronously build a benchmark group HOT 2
- Should hardcoded version number be updated?
- cannot read benchmark JSON if run & written with `seconds=Inf`
- `judge` lacks a docstring HOT 1
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from benchmarktools.jl.