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Dear developer,
I ran BayesPrism using ref [16000gene*50000cell] on blk [16000gene*400sample] using 16 cores on desktop with 128GB RAM but halted.
I wonder how much memory consumed per core in a typical run?
Best regards,
Pty
The text was updated successfully, but these errors were encountered:
Dear user,
Thank you for your interest in BayesPrism.
The short answer is that the entire scRNA-seq reference (gene-by-cell state
matrix) and a single bulk data is sent to an individual node (when
performing gibbs sampling). You may extract the gene-by-cell state matrix
from the prism object, and then check the size of the object. You may also
use the top command (in linux) to monitor the memory usage.
Best,
Tinyi
On Tue, May 7, 2024 at 2:28 AM Pentayouth ***@***.***> wrote:
Dear developer,
I ran BayesPrism using ref [*16000gene*50000cell*] on blk [
*16000gene*400sample*] using *16* cores on desktop with *128GB* RAM but
halted.
I wonder how much memory consumed per core in a typical run?
Best regards,
Pty
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Dear developer,
I ran BayesPrism using ref [16000gene*50000cell] on blk [16000gene*400sample] using 16 cores on desktop with 128GB RAM but halted.
I wonder how much memory consumed per core in a typical run?
Best regards,
Pty
The text was updated successfully, but these errors were encountered: