gpgpu
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Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.
This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.
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There is currently code generation for C and Python and there are a few inofficial bridges using the former to call futhark code from Haskell, Python, rust and Standard ML. However, there is no such convenient way to call futhark from a JVM language. Please add such support. I'd love to be able to call futhark code from, e.g., a Scala program. Thanks!
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Open issue to openly discuss potential ideas or improvements, whether on documentation, interfaces, examples, bug fixes, etc.
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Just an FYI whilst I was trawling through the ROCm GitHub page:
https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#
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Our users are often confused by the output from programs such as zip2john sometimes being very large (multi-gigabyte). Maybe we should identify and enhance these programs to output a message to stderr to explain to users that it's normal for the output to be very large - maybe always or maybe only when the output size is above a threshold (e.g., 1 million bytes?)