Jason Palmer

The number of models should just multiply the run time. Parallelization is only over segmented data as you said. Have you tried with 1 model with 90x1.8M data? ________________________________ From:...

In the Hsu et al paper, Amica was run with more models, nodes, and data than in your case, so I don’t think there is a limit based on the...

Do the errors you sent occur immediately, or after some normal output. If the latter, could you send the errors in context? From: vlawhern ***@***.***> Sent: Thursday, May 4, 2023...

Please paste the whole output from the crash, so I can check the initial output. From: vlawhern ***@***.***> Sent: Thursday, May 4, 2023 4:11 PM To: sccn/amica ***@***.***> Cc: Jason...

I think the issue is you are using too many threads (max_threads). The number of threads should be the number of cores (or less) on each node. Using more threads...

It may be that the number of threads has to divide the matrix block size (128 in your case). If you use do_opt_block it will try to optimize the block...

There may be an issue with the sphering. It seems to be duplicating the sphering over nodes, which may indicate that the MPI is not working correctly. Are you using...

Given the dependence on channel number, I think it might be an issue with stack overflow. Can you try setting the initial matrix block size to 32 and see if...

Hi, Im not sure what you are referring to by "About section". You mean the wiki?

Arno, are you able to commit changes? I am ok with any eeglab interface fixes. Thanks, Jason From: Arnaud Delorme Sent: Wednesday, November 27, 2019 10:47 PM To: japalmer29/amica Cc:...