yarr: Yet another array library
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:
Safe fold wrappers
Unresolved issues with parameterized unrolling in slice-wise loading
To start with, read documentation in the root module: Data.Yarr.
Yarr!
Modules
[Index]
Downloads
- yarr-0.9.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
- No Candidates
| Versions [RSS] | 0.9.1, 0.9.2, 1.2.3, 1.3.1, 1.3.2, 1.3.3, 1.3.3.1, 1.3.3.2, 1.3.3.3, 1.4.0.0, 1.4.0.1, 1.4.0.2 |
|---|---|
| Dependencies | base (>=4.6 && <4.7), 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), template-haskell (>=2.8 && <2.9) [details] |
| License | MIT |
| Author | Roman Leventov |
| Maintainer | Roman Leventov <leventov@ya.ru> |
| Uploaded | by RomanLeventov at 2013-02-11T17:45:30Z |
| Category | Data Structures, Data Flow, Graphics |
| Bug tracker | https://github.com/leventov/yarr/issues |
| Source repo | head: git clone https://github.com/leventov/yarr.git(yarr) |
| Reverse Dependencies | 2 direct, 0 indirect [details] |
| Downloads | 9671 total (30 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |