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Peter Mikkelsen here. I'll happily answer any questions.

• BenoitP 4y ago
  Great presentation! Is there an initiative at DYALOG to do an XLA [1] backend for APL? One can't help but notice the XLA API and APL share a great deal of functionality; after all it's about processing arrays: XlaBuilder::Iota <-> ⍳ XlaBuilder::Reshape <-> ⍴ XlaBuilder::Reduce <-> / XlaBuilder::Dot <-> . Transpose <-> ⍉ It feels like APL could get quite a kick from Google's TPUs. [1] https://www.tensorflow.org/xla https://www.tensorflow.org/xla
  • pmikkelsen 4y ago
    Not that I am aware of. I think the closest project is co-dfns[1] which is being developed by Aaron Hsu (he did a presentation as well). It aims to compile a subset of APL so that it can be executed on GPUs for instance, possibly with other backends. I imagine an XLA backend could be possible there. [1] https://github.com/Co-dfns/Co-dfns https://github.com/Co-dfns/Co-dfns
    • BenoitP 4y ago
      Thanks!