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RAM usage reduction: from 15.7GB to 13.4GB (15% reduction);
Results are not identical neither, it is hard to compare, but a quick comparison shows this:
DB size: 188k PRGs
Nb samples: 114
Nb of PRGs in final pandora_multisample.matrix BEFORE optimisation: 13716
Nb of PRGs in final pandora_multisample.matrix AFTER optimisation: 13756
Nb of common lines in pandora_multisample.matrix (i.e. where both versions found same presence/absence pattern): 9356
Nb of diff lines in pandora_multisample.matrix: 4400
I don't think is worth it to try removing paths from pandora indexes right now. Note that 13k genes were mapped to out of 188k. The on-demand PRG loading will be where we will really save RAM. Maybe later we can remove path from the index..
The text was updated successfully, but these errors were encountered:
Removing path from
pandora
indexes don't improve much the RAM usage:I don't think is worth it to try removing paths from pandora indexes right now. Note that 13k genes were mapped to out of 188k. The on-demand PRG loading will be where we will really save RAM. Maybe later we can remove path from the index..
The text was updated successfully, but these errors were encountered: