Comments (2)
I clarified this in the documentation. The functions that have a maxmem
parameter are not multi-threaded, so it's total memory, not per core. But the exact memory that will be used is not really capped by the value provided here, after I made some changes to the function without updating the calculation for how much memory will be used.
The maxmem
parameter should still be useful in two ways:
- If
extract_f2
(or a similar function that used has the parameter) crashes because it runs out of memory, setting it to a smaller value than the default 8000 could solve the problem. - If the function splits the computation up into blocks and is slow, and you have lots of memory, increasing the value will speed the computation up.
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I remembered that I did indeed add an option to parallelize extract_f2()
a couple of months ago following a suggestion from Benjamin Peter. In the latest version this is implemented so that the pairwise f2-calculations get split into several chunks, and the size of each chunk is proportional to maxmem/n_cores
. So yes, maxmem is per core, but the exact memory used by each process is only proportional to maxmem/n_cores
.
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Related Issues (20)
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