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Wed Jul 2 17:14:37 CEST 2008

datatypes and iterators

Starting from the ideas in FP, how can we build a minimalistic algebra
of programs specific for image processing? This means:

   * keep the data type simple (tiled images)

   * functionals are special cases of map/fold/shift for image ops

starting from this, building a framework for effective loop fusion
should be doable. the problem is composition of shift operators:
combining two convolution maps gives a bigger convolution map. (Is it
possible to work only in terms of the 4 direction unit shifts?)

This can be tested in 1D first, i.e. for block based audio processing.

Algebra of programs. Ingredients:

  * binary functions +,-,*
  * scalars + vectors

Is it possible to make something smaller than FP?



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