Error: numpy.core._exceptions._ArrayMemoryError: Unable to allocate 115. TiB for an array with shape (3983360, 3983360) and data type float64
@NOORLEICESTER `numpy.core._exceptions._ArrayMemoryError` on the HPC system but not on your laptop indicates a limitation in the available memory on the HPC cluster compared to your laptop. HPC environments often prioritize memory efficiency, so could you try switching the data type from float64 to float32 can significantly reduce memory usage.

In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you! @sushreebarsa the same error
 @NOORLEICESTER In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here. Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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I am encountering an error: 'numpy.core._exceptions._ArrayMemoryError: Unable to allocate 115 TiB for an array with shape (3983360, 3983360) and data type float64' when I use HPC. However, I do not encounter any error when I use my personal laptop for the same code. 