Closed jftoupet closed 2 years ago
Hi @jftoupet we don't currently support using the NVIDIA CUDA runtime in our workflow containers. This is on the TODO list.
For wf-artic very little of the workflow is GPU capable so there is little to gain.
Ok why not, but why ha e a 16M$ GPU just to sequencing with minknow ?
Le mar. 19 avr. 2022, 18:39, cjw85 @.***> a écrit :
Hi @jftoupet https://github.com/jftoupet we don't currently support using the NVIDIA CUDA runtime in our workflow containers. This is on the TODO list.
For wf-artic very little of the workflow is GPU capable so there is little to gain.
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Hello again @jftoupet - The primary use of the GPU on the GridION is basecalling.
For wf-artic we use existing community developed tools like FieldBioinformatics for analysis, which itself uses tools that are not GPU enabled.
I will close this issue now, please do raise new issues in the future if you have any problems with our workflows.
Hi Thank's Best regards Jf
Le mer. 20 avr. 2022 à 14:21, Matthew Parker @.***> a écrit :
Hello again @jftoupet https://github.com/jftoupet - The primary use of the GPU on the GridION is basecalling.
For wf-artic we use existing community developed tools like FieldBioinformatics for analysis, which itself uses tools that are not GPU enabled.
I will close this issue now, please do raise new issues in the future if you have any problems with our workflows.
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-- Jean-François TOUPET
We have this error, In addition, the UCX support is also built but disabled by default. To enable it, first install UCX (conda install -c conda-forge ucx). Then, set the environment variables OMPI_MCA_pml="ucx" OMPI_MCA_osc="ucx" before launching your MPI processes. Equivalently, you can set the MCA parameters in the command line: mpiexec --mca pml ucx --mca osc ucx ... Note that you might also need to set UCX_MEMTYPE_CACHE=n for CUDA awareness via UCX. Please consult UCX's documentation for detail.
however I notice that ucx is not installed in the 1.1.14 image. It is impossible to install it because the node.js 16 package is not present in the epi2melabs repo.
It's a shame not to be able to use cuda on a 50M$ gridion
Thank's Best regards