Updated benchmarks post
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@ -11,7 +11,7 @@ This depends on the power and configuration of our machine and doesn't convey an
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What we really care about is the relative relationships between different algorithms.
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By itself, a number like 2 nanoseconds is non-significant and not useful to anyone.
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By itself, a number like 2 nanoseconds is non-significant and not useful.
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However, once we add another competing algorithm to the mix, it becomes interesting.
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When algorithm A takes 2 ns to compute and algorithm B takes 4 ns to compute,
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we can see a relationship between A and B and that is the fact that A is twice as fast as B.
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@ -44,6 +44,7 @@ Ideally we want an infinite amount of test samples, because the more we have, th
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This means that in the case of a web server, we want as much load as possible from our stress testing tool,
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because more samples will bring us closer to the real relative performance relationships of the algorithms tested.
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The less stress we put on the server, the worse our results become.
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Some people have the misconception that a realistic benchmark should produce realistic absolute numbers.
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Realism in absolute numbers, especially when it comes at the cost of a worse approximation of `s`, is not useful to anyone.
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