@hackage yarr1.3.3.1
Yet another array library
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License
MIT
Maintainer
Roman Leventov <leventov@ya.ru>
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Dependencies (7)
- base >=4.6 && <4.8
- deepseq >=1.3 && <1.4
- fixed-vector ==0.1.2.1
- ghc-prim >=0.3 && <0.4
- missing-foreign ==0.1.1
- primitive >=0.2 && <0.6 Show all…
Dependents (2)
@hackage/acme-everything, @hackage/yarr-image-io
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.WalkIssue with slice-wise loading with unrolled filling function solved
To start with, read documentation in the root module: Data.Yarr.
Yarr!