Here are possible examples to put into the draft table.
relevant GitHub issues
- https://github.com/Cray/chapel-private/issues/6617
- https://github.com/Cray/chapel-private/issues/6805, this one ended up talking more about how to store a list of papers
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examples from ChapelCon tutorial: DanilaFe/chapelcon-2024-tutorial: Files and devcontainer configuration for the ChapelCon 2024 tutorial, https://chapel-lang.org/docs/main/modules/packages/Image.html
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examples in primers and blogs
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from various Chapel tutorials
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advent of code repositories people have
- https://github.com/mstrout/adventOfCode2023
- Tim, Brad, John, Daniel, others?
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Arkouda, Tom Westerhout’s code, Scott’s prototype simulation, other “production” code that is openly available
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HPC carpentries, did Daniel’s PR update get merged?
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Monte Carlo example Engin did for Hui
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using Chapel for image processing example, http://primachvis.com/pdf/chapel_by_ex.pdf, related to Hui Wang work, is this already on the potential blog post list? Interesting, it also has kd trees in it, I should read some more. Oh my goodness this is amazing! It is 176 pages and has kmeans clustering as well. I am going to put it back in my TODO list because it would be fun to work through the whole thing and develop a directory of test cases in the released examples directory.
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Jade did a demo on the image module with a bouncing Chapel logo on Aug 6, 2024, link for this?
- Jade example GPU code, is that the same as above?
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jeremiah-corrado/arkouda-xarray: Interface for using arkouda with xarray
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arkouda-contrib/arkouda_viz at main · Bears-R-Us/arkouda-contrib
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https://www.reddit.com/r/chapel/comments/1fohxfw/llmchpl_an_llmc_port_in_chapel/
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1BRC, Arkouda and Chapel examples
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Scott has about 5 repositories with Chapel examples, https://github.com/sdbachman
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link to ChOP code, https://github.com/tcarneirop/ChOp
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look on GitHub for other repositories that use Chapel or fall under the Chapel topic, https://github.com/search?q=topic%3Achapel-language&type=repositories
- Arkouda related, reading in large CSV files with Spark, https://towardsdatascience.com/pyspark-explained-the-inferschema-problem-12a08c989371