@hackage repa1.1.0.0

High performance, regular, shape polymorphic parallel arrays.

Categories
- Data Structures
License
BSD-3-Clause
Maintainer
Ben Lippmeier <benl@ouroborus.net>
Links
- Homepage
- Documentation
- No source repository
Versions
- 3.4.1.5 Sun, 5 Nov 2023
- 3.4.1.4 Mon, 27 Sep 2021
- 3.4.1.3 Sat, 17 Mar 2018
- 3.4.1.2 Mon, 21 Aug 2017
- 3.4.1.1 Sat, 18 Jun 2016
- 3.4.0.2 Fri, 16 Oct 2015

Installation
In your cabal file:
Dependencies (4)
- base >=4 && <5
- QuickCheck >=2.1 && <2.2
- dph-prim-par >=0.4 && <0.5
- dph-prim-seq >=0.4 && <0.5
Dependents (59)
@hackage/tcod-haskell, @hackage/accelerate-io-repa, @hackage/dvda, @hackage/repa-linear-algebra, @hackage/opencv, @hackage/fei-datasets, Show all…

NOTE: You must use the GHC head branch > 6.13.20100309 to get decent performance. Repa provides high performance, regular, multi-dimensional, shape polymorphic parallel arrays. All numeric data is stored unboxed. Functions written with the Repa combinators are automatically parallel provided you supply +RTS -Nwhatever on the command line when running the program.

@hackage repa1.1.0.0

Categories

License

Maintainer

Links

Versions

Installation

Dependencies (4)

Dependents (59)