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The SpectralNorm_3 is a bimodal benchmark.
Example histograms from BenchmarkDotNet:
-------------------- Histogram -------------------- [0.786 ms ; 1.033 ms) | @ [1.033 ms ; 1.466 ms) | @@@@@@@@@@@@@@@@@@ [1.466 ms ; 1.807 ms) | @@@ [1.807 ms ; 2.240 ms) | @@@@@@@ [2.240 ms ; 2.875 ms) | @@@@@ [2.875 ms ; 3.288 ms) | [3.288 ms ; 3.721 ms) | @@@@@@ ---------------------------------------------------
-------------------- Histogram -------------------- [0.942 ms ; 1.237 ms) | @@@ [1.237 ms ; 1.614 ms) | @@@@@@@@@@ [1.614 ms ; 1.892 ms) | @ [1.892 ms ; 2.269 ms) | @@@@@@@ [2.269 ms ; 2.563 ms) | @@@ [2.563 ms ; 2.940 ms) | @@@@@@@@@ [2.940 ms ; 3.354 ms) | @@@@ [3.354 ms ; 3.731 ms) | @@@ ---------------------------------------------------
Sample results from xunit-performance (please look at the Min and Max value):
We can get the diasm with BDN, but we need #40 to be implemented first to get profiles
The text was updated successfully, but these errors were encountered:
Closing old issues like this as we have better techniques for finding these things now.
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The SpectralNorm_3 is a bimodal benchmark.
Example histograms from BenchmarkDotNet:
Sample results from xunit-performance (please look at the Min and Max value):
We can get the diasm with BDN, but we need #40 to be implemented first to get profiles
The text was updated successfully, but these errors were encountered: