How to run Jupyter Notebook in multiple CPU cores? - jupyter-notebook

I have Q kernel in jupyter notebook. But the jupyter notebook run in single CPU core only. My system has 128 cores but the jupyter notebook utilize the single core only. Is there any way to utilize the multiple cores of my CPU for running the jupyter notebook.

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Cannot run R in jupyter notebook

I wanted to ask how to repair kernel connection for R in jupyter notebook,
I am able to run R in Rstudio and python in jupyter notebook, I used to write R in jupyter notebook but after some updates(I dont know what updates) R stop working in jupyter notebook.
I would like to ask for some advices - I would like to run it without reinstalling it
I also folled some question on stackoverflow and on google but it was not helpfull.
I attached images of what errors it returns
I did try: $ conda install -c r r-irkernel

Install and run R kernel for Jupyter Notebook?

I have jupyter notebook installed, I also have R installed. Both work fine independently.
When I run jupyter with jupyter notebook, then try to open an ipynb file, I see
The only option in the dropdown is Python 3 (R is not an option).
Question
How do you open a jupyter notebook with an R kernel (on mac)?
Note
I tried jupyter notebook --runtime-dir /usr/local/bin/R but that was just guessing
Looks like the R kernel could be installed via pip?
Open any R session (e.g. in RStudio is fine, or open terminal/bash and type R to start an R session).
Install the kernel with:
install.packages("devtools")
devtools::install_github("IRkernel/IRkernel")
IRkernel::installspec()
Close and reopen the notebook and the R kernel will now be available.
If the R kernel does not appear as an option within a Jupyter notebook even after installing R, and one is using Anaconda, bringing up the conda prompt from the Start menu (Windows 10), and running the following commands may do the trick:
conda config --add channels r
conda install --yes r-irkernel
Credit to this post.

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