Hi,
the relion BB can be reached at cc...@jiscmail.ac.uk
To answer your question:
There are several implementations / software-packages for setting up an
MPI on linux and if done correctly, Relion can be run on any of them
(assuming MPI and Relion are implemented on the cluster). Login to the
cluster and type "mpirun" in a terminal to test if the software is
installed. Have a look at the Relion Wiki for the way to run jobs on a
cluster:
https://www3.mrc-lmb.cam.ac.uk/relion/index.php/Benchmarks_%26_computer_hardware#Assemble_your_own_GPU_machines
Running Relion jobs on a cluster however is not going to get the job
done faster as the main bottlenecks are
1) the dataset-containing HDD that will need to feed all the nodes
with massive amounts of data (TBs rather than GBs),
2) the speed (10G would be the minimum) & load of the network
and
3) cluster limitations like time, nodes allocated to one job and
overall load of the cluster
may all have a dramatic impact on the time required to get the job done.
A dedicated stand alone maschine with a modern 8-12 core processor, a
minimum of 128MB Ram and 1 or 2 NVIDIA RTX (8GB of Ram each) will do the
job faster. See the benchmarks on the Relion Wiki page mentioned above.
Cheers,
Jeroen
Am 11.09.20 um 01:18 schrieb Lora Sinha:
In the Relion 3.1 tutorial, the job is submitted to a local machine,
but I wonder if I can submit the job to a GPU cluster? What MPI
configuration should I use?
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*Dr.math. et dis. nat.Jeroen R. Mesters*
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