![]() The manual next advises some tools like judge, and ratio to compare benchmark results but there is no point since all comparisons will be quite wrong in this case. Now we restart Julia and again with B(x) # run in new Julia sessionī(x) = for i in 1:100 x\x B(x) setup = (x=rand(n,n)) evals = 1 samples = 10_000 seconds = 10_000 BenchmarkTools results # run in new Julia sessionĪ(x) = for i in 1:101 x\x A(x) setup = (x=rand(n,n)) evals = 1 samples = 10_000 seconds = 10_000īenchmarkTools.Trial: 10000 samples with 1 evaluation. The matrix operation x\x is quite robust against optimizations and a benchmarks ratio estimation close to the theoretical 1.01 ratio is to be expected. Functions to be compared A(x) = for i in 1:101 x\x end That’s why in this example we are going to imagine we work in a server with no admin rights to try anything low level, we will though restart Julia sessions between benchmarks. BenchmarkTools failed comparisonĪdmittedly, unless I go through every single piece of advice in the docs I cannot hold that BenchmarkTools provided a failed comparison. Incidentally, these very important warnings and others come at the very end in the BenchmarkTools manual, just like the warnings in the Book of Cagliostro… Strange. When looking for information in the Internet I actually found lots dealing with the low level side of it, which is important, but not so much dealing with the systematic side of it, which is statistically critical. ![]() In particular to solve systematic errors they recommend Caching Parameters in separate Julia sessions, and to deal with non-systematic machine/OS errors they recommend a list of low level settings not for the faint of heart or for anybody without admin rights. One general statistical test strategy to compare benchmarks.Īs it turns out the BenchmarkTools documentation in development already talks about potential sources of errors.How using BenchmarkTools will fail to detect effects in one specific example.Since that topic was resolved and I needed specific examples to convey how this improvement may look like I ended my participation suggesting opening a new topic on this matter that seemed to spark the interest of at least and Here we go. In a separate topic discussing why systematic errors appear when using BenchmarkTools, I end up claiming that BenchmarkTools, which happens to be great to measure benchmarks, could introduce improvements when it comes to compare benchmarks.
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