4 ms·

Any benchmarks for this? (I didn't find any via google.)

• hogu 14y ago
  implementation is not done yet, it's more about the proper mental model for generalizing numpy
  • carterschonwald 14y ago
    a lot of the design ideas are pulled from some great research http://justtesting.org/repa-3-more-control-over-array-representation http://justtesting.org/repa-3-more-control-over-array-repres... (that paper is the most current relevant one, though theres a few others). chatted with stephen about Repa and hpc code engineering the evening before the talk, its all haskell ideas ported to python land under the covers :) (as the slide deck admits!)
    • pwang 14y ago
      > its all haskell ideas ported to python land under the covers :) Well, that's not entirely true. It's based on many of the same ideas which underlie some of the good Haskell ideas, and have a natural expression in Haskell because it's a type algebra on index spaces. An incomplete list of the inspirations: Paralation Lisp, Merrimac, APL / J / K, Manticore, FORTH, Chapel & ZPL (and VCODE), SISAL, OLAP & MDX, LINQ, various PGAS approaches, etc., etc.