computations / dks

Dynamic Kernel Selection for RAxML-NG

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Dynamic Kernel Selection

In tree inference with RAxML, it appears that "higher" CPU instruction sets are not actually faster all the time. I.E. sometimes AVX is faster than AVX2. Unfortunately, this isn't the case all the time, and appears to depend on the data. Therefore, this is a toolkit to heuristically determine which of the CPU options are the best for a given data set.

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Dynamic Kernel Selection for RAxML-NG

License:MIT License


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