Merge github.com:JuliaGPU/GPUArrays.jl

Author: SimonDanisch

README.md

@@ -73,6 +73,14 @@ working with immutable isbits (not containing pointers) type should be completel
 non allocating code (so no constructs like `x = [1, 2, 3]`). Note that tuples are isbits, so this works x = (1, 2, 3).
 Transpiler/OpenCL has problems with putting GPU arrays on the gpu into a struct - so no views and actually no multidimensional indexing. For that `size` is needed which would need to be part of the array struct. A fix for that is in sight, though.
 
+# JLArray
+
+The `JLArray` is a `GPUArray` which doesn't run on the GPU and rather uses Julia's async constructs as its backend. It serves as a fallback for testing compatibility with `GPUArray`s in cases where a GPU does not exist and as a reference implementation. It is constructed as follows:
+
+```julia
+gA = JLArray(A)
+```
+
 # TODO / up for grabs
 
 * stencil operations, convolutions

src/GPUArrays.jl

@@ -21,5 +21,6 @@ include("random.jl")
 
 export GPUArray, gpu_call, thread_blocks_heuristic, global_size, synchronize_threads
 export linear_index, @linearidx, @cartesianidx, convolution!, device, synchronize
+export JLArray
 
 end # module