Not sure where this happens, since I’m just using sparse matrices here. I guess they might get densified somewhere below me & then that overhead allocation doesn’t get returned to other processes, it’s just claimed by the jupyter kernel.
Which…. means that my two kernels compete for space.
Originally posted on yetanothergeographer.tumblr.com.