I'm very interested to see these examples? We use and advocate the use
of conda environments and I'm happy to be convinced otherwise.

Thanks,
Ashwin

On Tue, Aug 28, 2018 at 2:17 PM, Maxime Boissonneault
<maxime.boissonnea...@calculquebec.ca> wrote:
> Regarding performance, we have example of code using Anaconda-provided
> packages that run 10 times slower than the same code using locally built
> packages, optimized for the cluster architectures. That's not *a bit*
> slower, that's a lot slower.
>
> Regarding "cheating on your partner", that analogy is not by me, but the
> point he is trying to carry is that Anaconda basically replaces any cluster
> provided versions, which HPC center people are working hard to optimize.
> Recent versions of Anaconda are even worse, by packaging things like
> compilers and linkers, creating conflicts with cluster-provided system
> libraries and tools, and creating a lot of debugging problems for users and
> support people alike.
>
> Regards,
>
> Maxime
>
>
> On 2018-08-28 12:48 PM, Rémi Rampin wrote:
>
> 2018-08-28 12:27 EDT, Maxime Boissonneault
> <maxime.boissonnea...@calculquebec.ca>:
>>
>> As a side-discussion, I think we should also be wary of using Anaconda,
>> and tell users not to use it in a cluster environment. For reasons, see
>> here :
>> https://twitter.com/mboisso/status/1034476890353020928
>
>
> Hi Maxime,
>
> All I see in this thread is that "it's like cheating on your partner" (!!!)
> and it's "generically optimized software" that might be a bit slower than
> locally-built libs (interesting concern when using Python, an interpreted
> scripting language (and on the slow side too)).
>
> Could you elaborate on those reasons?
>
> Best
> --
> Rémi
>
>
> The Carpentries / discuss / see discussions + participants + delivery
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