yarr

Yarr is a new blazing fast dataflow framework (array library), mainly intented to process Storables (including all "primitive" numeric types) and fixed-vectors of them, for example coordinates, color components, complex numbers.

Yarr framework is inspired by repa library and inherits its features, including shape-polymorphism and auto-parallelism. Additionaly, the framework is polymorphic over type and arity of fixed-size vectors and supports neat flow operations over them. For example, you can convert colored image to greyscale like this:

let greyImage = zipElems (\r g b -> 0.21 * r + 0.71 * g + 0.07 * b) image

In some cases the library is considerably faster than repa. See benchmark results: https://github.com/leventov/yarr/blob/master/tests/bench-results.md

Shortcoming by design: lack of pure indexing interface.

Changes in 1.3 (ex. 0.9.3):

• IFusion -- mapping/zipping with index

• Rename: Work -> Walk

Changes in version 0.9.2:

• Safe folds -- see Data.Yarr.Walk

• Issue with slice-wise loading with unrolled filling function solved

To start with, read documentation in the root module: Data.Yarr.

Yarr!