Comparing Parallel Functional Array Languages: Programming and Performance

1. linalg

   1 1 17 2.6 Futhark

   Linear algebra package for Futhark (by diku-dk)

   

   > Notice that all the all the languages mentioned depends on the external BLAS library for example OpenBLAS for performance.

   I didn't notice that because it's not true. Futhark doesn't even have linear algebra primitives---everything has to be done in terms of map/reduce/etc: https://github.com/diku-dk/linalg

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. jax

   2 90 33,296 10.0 Python

   Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

   

4. chapel

   3 30 1,928 10.0 Chapel

   a Productive Parallel Programming Language

   

   @yubblegum: I'm afraid we don't have an update on support for Apple GPUs since last year's comment. While it comes up from time-to-time, nobody has opened an issue for it yet (please feel encouraged to!), and it isn't something we've had the chance to prioritize, where a lot of our recent work has focused on improving tooling support and addressing user requests.

   I'll take your feedback about simplifying GPU-based installs back to our team, and have noted it on this thematically related issue: https://github.com/chapel-lang/chapel/issues/25187#issuecomm...

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