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I encountered an out-of-memory (OOM) error while executing the cell type identification step. Despite running the process on a machine equipped with 256 GB of RAM, the operation was terminated because it exceeded the available memory.
Is there a way to configure or limit the memory usage for this specific step to prevent OOM errors?
Could you provide any recommendations or settings adjustments to optimize memory usage for machines with large RAM capacities?
Thanks,
Chen
The text was updated successfully, but these errors were encountered:
The memory usage of SpatialScope for one slice Visium data should be less than 50 GB. I do not know why this issue happened in your case. By the way, you could try use a smaller dataset (e.g., the cropped ROI region of Visium data) to test the pipeline of SpatialScope.
Hi,
I encountered an out-of-memory (OOM) error while executing the cell type identification step. Despite running the process on a machine equipped with 256 GB of RAM, the operation was terminated because it exceeded the available memory.
Is there a way to configure or limit the memory usage for this specific step to prevent OOM errors?
Could you provide any recommendations or settings adjustments to optimize memory usage for machines with large RAM capacities?
Thanks,
Chen
The text was updated successfully, but these errors were encountered: