The yarr package

[Tags: library, mit]

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

The library is considerably faster than repa. Canny edge detector on Yarr is 40% (on 5 threads) and 55% (in sequential mode) faster then on repa.

Shortcoming by design: lack of pure indexing interface.

Work ahead:

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



Versions0.9.1, 0.9.2, 1.2.3, 1.3.1, 1.3.2, 1.3.3,,,,,
Change logNone available
Dependenciesbase (==4.6.*), deepseq (==1.3.*), fixed-vector (==, ghc-prim (==0.3.*), missing-foreign (==0.1.1), primitive (>=0.2), template-haskell (==2.8.*) [details]
AuthorRoman Leventov
MaintainerRoman Leventov <>
CategoryData Structures, Data Flow, Graphics
Bug tracker
Source repositoryhead: git clone
UploadedMon Feb 11 17:45:30 UTC 2013 by RomanLeventov
Downloads1502 total (55 in last 30 days)
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StatusDocs uploaded by user
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