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PPC64LE Conda Install #633
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We'd like to do one or both of these at some point in the future but, unfortunately, it's probably not something we can do in the short term. The OpenFF toolkit is pure Python, so it comes down tot he dependencies. Most are distributed as noarch and/or ppc64le, but some important ones don't seem to be: RDKit and OpenMM stick out to me at a glance. They can easy probably be compiled locally but I have not tried myself and don't have access to a PowerPC machine at the moment to test. I'm not sure about the OpenEye toolkits, if you happen to have a license. |
(cc @j-wags @jaimergp @peastman) We are actively working to migrate OpenMM to We might open an issue on the https://github.com/conda-forge/rdkit-feedstock to see if they could add ppc64le and ARM support as well, and at least find out what the roadblocks are. |
Hi Matt and John, Thank you for the information. I see the RDKit issue you mention. As for OpenMM (and ParmEd), I managed to get them working on a Summit-style cluster with these Conda installations:
It looks like I will be able to pre-parametrize our ligands on an x86 system then move them over to ppc64le systems using the magic of serialization. As a side note, I'd just like to say that the work you folks are doing is absolutely outstanding :) Thank you all again, |
I had built those manually using recipes I created for building on Summit: Now that |
Opened an issue on the RKDit feedstock: conda-forge/rdkit-feedstock#52 |
You can track the progress for Note these are not released, so you would need to run There are some issues with the CPU platform on |
Updates on this:
Having OpenMM on conda-forge is still ongoing, but we will get there. Is any other critical dependency I am missing? |
This is now a bit stale - this probably works now given the improvements to upstream packaging, but it still might not. If this is still desired and it does not work, please re-open. |
Hi,
Is there any chance Open Force Field might get a PPC64LE or noarch installation option?
Thanks!
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