2019年6月20日(木) 8:16 Mauricio Reis :
> But documentation (provided by a teacher in charge of the Cray computer)
> shows:
> - each node: 1 CPU, 1 GPU, 32 GBytes
>
If that's true, then it appears to me that running on any individual
compute host (node) has 1-core / 2-threads, and that would be why yo
I can not access the Cray computer at this moment to run the suggested
code. Once you have access, I'll let you know.
But documentation (provided by a teacher in charge of the Cray computer)
shows:
- 10 blades
- 4 nodes per blade = 40 nodes
- each node: 1 CPU, 1 GPU, 32 GBytes
---
Ats.,
Mauri
How many cores du you have on this machine?
joblib.cpu_count()
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I'd like to understand how parallelism works in the DBScan routine in
SciKit Learn running on the Cray computer and what should I do to
improve the results I'm looking at.
I have adapted the existing example in
[https://scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html#sphx-glr-au
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