Computation performance decreasing with important number of files

[GGuidiRontani]

Working with Conda version 2.0.3, I was confronted with underutilized computational capabilities while working with a large dataset consisting of about 5000 laz tiles. Each worker was arround 0.5% of the CPU when the expected behaviour is about 5%.
With a smaller subset of the exact same tiles, it works fine.

My process file is
pdal-parallelizer process-pipelines -c F:\nuages\2020_lidar\2022_06_pdal_mneh_config.json -it dir -nw 20 -tpw 1 -mt