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options(mc.cores = parallel::detectCores())
May help speed things up. Note: I noticed the chains are running for 2000 iterations as well. Probably overkill with 6 chains. I would think 700 (w/ 200 …
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Hi, padriba,
I have run this software successfully, by the way, I installed it by the source code. I found I have to run the program in the installation directory, and it process the input fasta one …
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Here is some sample parallel code taken from [stackoverflow](https://stackoverflow.com/a/19699363):
```
from multiprocessing import Pool
def myfunc(x):
return [i for i in range(x)]
A = []
def …
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Hello,
Thank you for creating this very useful tool. We have been using Cellbender since version 0.1.0 and have applied it to many different projects. However, recently when using version 0.3.0 on …
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I do not know if this an issue there is any interest in, but I noticed the library can potentially benefit from parallelizing parts of computing-intensive functions.
I experimented a bit and used O…
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With a NbDistribution = 1000 and the tested number of SNPs = 300, I found it cost more than 30 minutes to return the result. However, if the NbDistribution is expanded to 10000, it takes more than sev…
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There are a few result runs under the experiment/data directory:
https://github.com/converged-computing/performance-study/tree/main/experiments/aws/parallel-cluster/cpu/experiment/data
And I'm n…
vsoch updated
2 weeks ago
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Computing ess and Rhat in summary can be quite slow. It seems that this can be paralleleized quite easily by switiching the sapply's to parSapply. I started to make the changes, but wanted to check in…
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Based on the progress we got on June 27th, we managed to predict 100 timesteps with dask. I also managed to reduce the size of trained RF model from 15 GB to 245 MB. I can predict 200 timesteps (with …
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I have two GPUs on our server. But when I run the model, the second GPU always does not work. I know my job is not very big, so that the first GPU hasn't been occupied fully. But I think if you can su…