On 2019-06-12 10:56 AM, Michael Sarahan wrote:
That's a good point, but rather than say "don't use conda at all" -
that's more reason to have custom channels where conda is set up to
comply with those needs. Conda need not be mutually exclusive with
these things, but it does take some setup to get them working together.
That's not what I'm saying. What I'm saying is consult with your local
experts.
On our clusters, *we* tell users don't use conda.
We provide a comprehensive list of precompiled python wheels. There is
absolutely no need for conda in 99% of the cases.
I don't see why we would support custom conda channels when we can just
as well support python wheels that don't require conda.
Maxime
Saying "don't use conda at all" is ignoring the work that has to
happen either way. Either you have to reproduce what conda is
providing somehow, or you have to make conda use the part on the
system side. That's definitely a case-by-case scenario for everyone,
and we need to document both paths.
For your example of MPI, conda packages are setup to explicitly
require some MPI implementation where necessary. That package can come
from an actual conda MPICH package, or it can come from a known binary
compatible system installation that has a conda package setup to
reference it. Conda is not dogmatic about being hermetic (unlike,
say, bazel). Binary compatibility with external libraries can be
pretty tricky, though.
On Wed, Jun 12, 2019 at 9:48 AM Maxime Boissonneault
<[email protected]
<mailto:[email protected]>> wrote:
Hi,
How about including a part about when *not* to use Conda ?
In particular, if they are going to be computing on a
supercomputer, they should consult with your cluster specialists
first.
Conda works well on somebody's desktop, but it creates a lot of
problems on supercomputers, because it does crazy stuff like
installing MPI by itself instead of relying on staff-installed
modules and software packages.
Cheers,
Maxime
On 2019-06-12 9:49 AM, David Pugh wrote:
All,
I have developed a Software Carpentry style lesson for Conda and
would be keen to get feedback from the community!
Website:
https://kaust-vislab.github.io/introduction-to-conda-for-data-scientists/
Repo:
https://github.com/kaust-vislab/introduction-to-conda-for-data-scientists
Thanks and look forward to hearing from you!
David
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Maxime Boissonneault
Analyste de calcul - Calcul Québec, Université Laval
Président - Comité de coordination du soutien à la recherche de Calcul Québec
Team lead - Research Support National Team, Compute Canada
Instructeur Software Carpentry
Ph. D. en physique
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