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I'm not sure it's actually feasible, but it would be great if `Cuba.jl` could take advantage of parallelization capability of Cuba Library. Concurrency is achieved using `fork` and `wait`, but trying…
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Currently, all workflows just walk over files/segments consequently, so we can parallelize it nicely.
Look into [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) module.
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This repo, as it stands, is full of "embarassingly parallel" problems which I have not yet ventured to parallelize.
Most obviously, the _t_ random walks mandated by signing are independent of each …
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One nice feature would be to take advantage of the `submodule.fetchJobs` option to allow multiple submodule fetches to be completed at the same time. See the -j option [here](https://git-scm.com/docs/…
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To make the pipeline more performant and make the backend consistent, rewrite the pipeline in go.
In doing so, we will introduce
- parallelization of i2t request and similarity processing
- remove …
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Fantastic work, John. I greatly enjoy exploring the package thus far.
I've run into some problem in estimating a WTP-space model. The problem appears when I requested a larger number of draws. The …
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1) A name_part.pol file needs to be created in DFLOW FM and the .mdu file needs to be changed to reflect parallelization. This must be done prior to running DFLOW and notCAS on CARC
2) You need to …
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Support for parallel simulation computation on a multiprocessor/multicore machine would be great. Limiting the number of cores used should be an optional parameter when running simulations, ideally de…
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Parallelization of the build steps in separate processes may be possible for a performance gain.