bump up version

Author: navidcy

Project.toml

@@ -6,7 +6,7 @@ authors = ["Gregory L. Wagner <wagner.greg@gmail.com>", "Navid C. Constantinou <
 description = "Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains."
 documentation = "https://fourierflows.github.io/FourierFlowsDocumentation/stable/"
 repository = "https://github.com/FourierFlows/FourierFlows.jl"
-version = "0.6.12"
+version = "0.6.13"
 
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

README.md

@@ -86,7 +86,7 @@ and [Navid C. Constantinou][] (@navidcy).
 
 The code is citable via [zenodo](https://zenodo.org). Please cite as:
 
-> Navid C. Constantinou & Gregory L. Wagner. (2021). FourierFlows/FourierFlows.jl: FourierFlows v0.6.12 (Version v0.6.12). Zenodo.  [http://doi.org/10.5281/zenodo.1161724](http://doi.org/10.5281/zenodo.1161724)
+> Navid C. Constantinou & Gregory L. Wagner. (2021). FourierFlows/FourierFlows.jl: FourierFlows v0.6.13 (Version v0.6.13). Zenodo.  [http://doi.org/10.5281/zenodo.1161724](http://doi.org/10.5281/zenodo.1161724)
 
 
 [Julia]: https://julialang.org/

docs/src/gpu.md

@@ -52,8 +52,9 @@ is only a matter of calling `FourierFlows.Diffusion.Problem()` with `dev=GPU()`.
 modules in [GeophysicalFlows.jl](https://github.com/FourierFlows/GeophysicalFlows.jl) can 
 also seamlessly run on a GPU with `dev=GPU()` argument.
 
-If your machine has more than one GPU available, then functionality within `CUDA.jl` package 
-enables the user to choose the GPU device that `FourierFlows.jl` should use. The user is referred
-to the [`CUDA.jl` Documentation](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#Device-Management);
-in particular, [`CUDA.devices`](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#CUDA.devices) 
-and [`CUDA.CuDevice`](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#CUDA.CuDevice).
+
+## Selecting GPU device
+
+`FourierFlows.jl` can only utilize a single GPU. If your machine has more than one GPU available, 
+then functionality within `CUDA.jl` package enables the user to choose the GPU device that 
+`FourierFlows.jl` should use. The user is referred to the [`CUDA.jl` Documentation](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#Device-Management); in particular, [`CUDA.devices`](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#CUDA.devices) and [`CUDA.CuDevice`](https://juliagpu.github.io/CUDA.jl/stable/lib/driver/#CUDA.CuDevice).