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Jake & Paul - I've added a jupyter notebook showing how to use the multithreading package in python.
I recommend the outline of the functions to look something like:
1) Splitting function (paral…
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Hello,
(I believe) there exist highly parallel marching cubes implementations, some of which may utilize the GPU.
Is this something that's feasible to integrate with ImplicitCAD?
I'd like to ge…
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Would it be possible to do a parallelized `sra` and `fastq-dump` on multiple samples? I'm downloading this [~2k sample dataset](http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71585) on our super…
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There are two main points for parallelization: Construction and searching.
Both of these should be relatively simple to parallelize as they're recursive functions.
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Overview
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There are many sub-routines in shgo that are low hanging fruit for parallelization, most importantly the sampling mapping of the objective function itself (in cases where it is possib…
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Would be great to have the possibility to run `gpg` in parallel.
Probably the best way is to use `omp` and its pragma's.
Things that can be parallelized:
- Generation of the initial population
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Add an option to execute functions in parallel processes
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I'm going to break down my current understanding of how CSS blocks works (I think as long as I'm close enough it will work for explanation purposes)
- Find all the CSS Blocks files (recursively)
-…
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Nolte (2020) parallelizes the RF analysis at the county level. I'm not sure if this is a separate/additional parallelization to the one you envision using with the h2o package. Nolte's approach essent…
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Distance calculation parallelization with smaller spatial extents than the entire dataset's extent may result in erroneous values if some grids/sub-regions have no target data features or edge cases a…