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I am wondering if it is possible to "mimick" a hybrid parallelization approach with `mpi4py` using `ipyparallel`?
I.e. have each engine access several cores?
By hybrid I mean using mpi4py for communi…
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They stopped working and currently, I don't have the capacity to find out why.
Original `pip_module_groups`-String:
`"sci_pks": "ipykernel numpy scipy sympy pandarallel dask mpi4py ipyparallel …
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Hi. I have previously used ipyparallel successfully on a multicore laptop and then ran the same code on a 1024 node HPC. The next stage is to run the code on multicore server machines. In this case, t…
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In [ChiantiPy documentation](http://chiantipy.readthedocs.io/en/stable/getting_started.html), there is no dependency on ipyparallel but the README.md file contains it.
Maybe either of them needs an…
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ipyparallel does not offer means to exchange files from the controller to the cluster. In the code, there are currently a couple of `rsync` that I would like to get rid of for a more integrated soluti…
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In such cases instead generate
```parch
--- foo bar/bar.py
+++ foo bar/bar.py
```
Should be generated
```parch
--- "foo bar/bar.py"
+++ "foo bar/bar.py"
```
Issue can be tested on `meson` …
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Hey, is it possible for you to include the clusters tab within datalab? Along with easy collaboration, parallel processing using ipyparallel, would truly unlock the benefits of running data experiment…
ghost updated
7 years ago
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Hi, I wonder whether it's possible to use nbval for a jupyter notebook that exploits ipyparallel in combination with MPI (mpi4py).
[This](https://nbviewer.jupyter.org/github/opesci/devito/blob/63bf…
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as in https://github.com/ajschumacher/texas2017/blob/master/final/notes.txt
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i suggest someone code up a task 'scheduler' that uses task info stored in a ipyparallel task db.