Add arrayfire

Author: ocramz

_posts/2016-10-19-current-environment.md

@@ -57,6 +57,7 @@ Folds can be composed Applicatively, which makes it simple to do many such opera
 - **accelerate** [![Hackage](https://img.shields.io/hackage/v/accelerate.svg)](https://hackage.haskell.org/package/accelerate) [![accelerate](http://stackage.org/package/accelerate/badge/nightly)](http://stackage.org/nightly/package/accelerate) : Data.Array.Accelerate defines an embedded array language for computations for high-performance computing in Haskell. Computations on multi-dimensional, regular arrays are expressed in the form of parameterised collective operations, such as maps, reductions, and permutations. These computations may then be online compiled and executed on a range of architectures.
 - **repa** [![Hackage](https://img.shields.io/hackage/v/repa.svg)](https://hackage.haskell.org/package/repa)  [![repa](http://stackage.org/package/repa/badge/nightly)](http://stackage.org/nightly/package/repa) : Repa provides high performance, regular, multi-dimensional, shape polymorphic parallel arrays. All numeric data is stored unboxed. 
 - **massiv** [![Hackage](https://img.shields.io/hackage/v/massiv.svg)](https://hackage.haskell.org/package/massiv)  [![massiv](http://stackage.org/package/massiv/badge/nightly)](http://stackage.org/nightly/package/massiv) : Repa-style high-performance multi-dimentional arrays with nested parallelism and stencil computation capabilities.
+- **arrayfire** [](http://github.com/arrayfire/arrayfire-haskell){:.github}  [![Hackage](https://img.shields.io/hackage/v/arrayfire.svg)](https://hackage.haskell.org/package/arrayfire) : Haskell bindings to the ArrayFire general-purpose GPU library
 
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