I recently updated Julia to version 1.7. When trying to do a straightforward computation in the Jupyterlab environment such as:
using Random
Random.seed!(42)
A = rand(1000, 1000)
inv(A)
I get the following error (literally just one word and nothing else):
StackOverflowError:
The same commands ran on the REPL do not give this error. I tried with my Anaconda-installed Jupyter lab and the installation using the IJulia package, but it made no difference. Only the VSCode implementation of the Jupyter notebook works. The issue in VSCode is that I cannot instantiate a multi-threaded kernel.
Any idea what could be going on and how can I fix it?
Unfortunately it was overlooked before launch. We need to wait until a new version comes to have it fixed. Another option is using MKL instead of openblas as the linear algebra library.