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Hi,
Is it possible to `DelayedPLIER` parallelization?
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We've been able to use `concurrent.futures.ProcessPoolExecutor` to handle some additional preprocessing that we perform before using superpoint transformer at all, and we get a huge speedup by doing i…
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hello @jguhlin,
I have a bunch of sequences, each sequence has some reference sequences to align against (different for each sequence), I saw the fakeminimap2 for parallelizing when sequences share…
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When I run `evaluate` with any model of VertexAI, I get several warnings that say
> Gapic client context issue detected.This can occur due to parallelization.
And sometimes the execution of eva…
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I'm a contributor of [red-data-tools/red-datasets](https://github.com/red-data-tools/red-datasets/issues/188). The tests for red-datasets use [test-unit](https://test-unit.github.io/). Thanks!
With…
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I am requesting the addition of parallelization in the `pyTEMlib.eds_tools.fit_model` function for use on an HPC.
The residuals function may simply need to have spectrum input confirmed as a dask …
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Hi!
I have been using modkit for a while and I noticed that parallelizing `modkit extract ` doesn't really speed up the job. Specifically, I have been using it both on single bam files output by g…
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There are two places we could use xarray's machinery for parallelization to potentially speed up the generation of references.
1) Using `parallel=True` in `xr.open_mfdataset`, which would then use …
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Right now, the main thread isn't the bottleneck, it's the API. But when users are allowed to set droplet speed, we'll need `WebWorker`s.
I'll have to benchmark before doing so, as the `context` API…
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This is a suggestion to simplify this:
https://github.com/nipreps/eddymotion/blob/b1f70cc67417ac2fab43ccf5196b9b26397b2326/src/eddymotion/model/base.py#L160
We are in the midst of some work to …