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authorSebastiano Tronto <sebastiano@tronto.net>2025-06-19 23:00:47 +0200
committerSebastiano Tronto <sebastiano@tronto.net>2025-06-19 23:00:47 +0200
commit2048e5a99de981a53d5eeb8a66d98e281898c9f0 (patch)
tree74c75fcda617c7c423679a17eeb4497f4e82d854 /benchmarks/benchmarks.md
parenteb89f4c234e5d3868ad33223684934a30c76393e (diff)
downloadnissy-core-2048e5a99de981a53d5eeb8a66d98e281898c9f0.tar.gz
nissy-core-2048e5a99de981a53d5eeb8a66d98e281898c9f0.zip
Add small comments on benchmark results
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@@ -216,6 +216,14 @@ Time per cube adjusted for tables size (in seconds \* GiB, lower is better).
216|H48 h7 k2 | 3.6GiB | 1.30 | 15.26 | | | 216|H48 h7 k2 | 3.6GiB | 1.30 | 15.26 | | |
217|H48 h6 k2 | 1.8GiB | 1.24 | 14.76 | | | 217|H48 h6 k2 | 1.8GiB | 1.24 | 14.76 | | |
218 218
219## Comments on the results
220
221* Adjusting for table size, vcube generally is a bit faster than H48,
222 except for 20 moves scrambles where H48 is a clear winner.
223* On sets of 25 scrambles, H48 performs better than vcube when using
224 multiple threads. However, this advantage will likely disappear (or
225 even invert) if we increase the size of the set.
226
219## Other notes 227## Other notes
220 228
221* Missing values in the table mean that the test is very slow and I did 229* Missing values in the table mean that the test is very slow and I did

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