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Whenever I try to calculate PCA metrics on HD-MEA data (lots of units, lots of channels), I always run out of memory before the computation can finish, on a machine with ~100 GB of available RAM.
I know that the job kwargs have a "total_memory" argument, but as far as I can see that only applies to operations performed on recordings (I'm assuming filtering, spike sorting...).
Would it be feasible to progressively calculate metrics then only keep the output in memory ? Or maybe temporarily write the arrays to disk at the expense of speed ?
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Whenever I try to calculate PCA metrics on HD-MEA data (lots of units, lots of channels), I always run out of memory before the computation can finish, on a machine with ~100 GB of available RAM.
I know that the job kwargs have a
"total_memory"
argument, but as far as I can see that only applies to operations performed on recordings (I'm assuming filtering, spike sorting...).Would it be feasible to progressively calculate metrics then only keep the output in memory ? Or maybe temporarily write the arrays to disk at the expense of speed ?
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