Merge pull request #29233 from aghitza/patch-2

fix awkward phrasing in parallel-computing.md
JuliaLang · Sep 18, 2018 · 3a15e6b · 3a15e6b · nanosoldier · Sep 18, 2018
2 parents 88f74b7 + 157a6d1
commit 3a15e6b
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/doc/src/manual/parallel-computing.md b/doc/src/manual/parallel-computing.md
@@ -1649,13 +1649,13 @@ in future releases.
 Outside of Julia parallelism there are plenty of external packages that should be mentioned.
 For example [MPI.jl](https://github.com/JuliaParallel/MPI.jl) is a Julia wrapper for the `MPI` protocol, or
 [DistributedArrays.jl](https://github.com/JuliaParallel/Distributedarrays.jl), as presented in [Shared Arrays](@ref).
-A mention must be done to the Julia's GPU programming ecosystem, which includes :
+A mention must be made of Julia's GPU programming ecosystem, which includes:
 
 1. Low-level (C kernel) based operations [OpenCL.jl](https://github.com/JuliaGPU/OpenCL.jl) and [CUDAdrv.jl](https://github.com/JuliaGPU/CUDAdrv.jl) which are respectively an OpenCL interface and a CUDA wrapper.
 
 2. Low-level (Julia Kernel) interfaces like [CUDAnative.jl](https://github.com/JuliaGPU/CUDAnative.jl) which is a Julia native CUDA implementation.
 
-3. High-level vendor specific abstractions like [CuArrays.jl](https://github.com/JuliaGPU/CuArrays.jl) and [CLArrays.jl](https://github.com/JuliaGPU/CLArrays.jl)
+3. High-level vendor-specific abstractions like [CuArrays.jl](https://github.com/JuliaGPU/CuArrays.jl) and [CLArrays.jl](https://github.com/JuliaGPU/CLArrays.jl)
 
 4. High-level libraries like [ArrayFire.jl](https://github.com/JuliaComputing/ArrayFire.jl) and [GPUArrays.jl](https://github.com/JuliaGPU/GPUArrays.jl)