Release fixes

Project.toml

@@ -4,7 +4,6 @@ authors = ["Adrian Maldonado <[email protected]>", "Michel Schanen <mschanen@an
 version = "0.10.0"
 
 [deps]
-AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
@@ -31,7 +30,11 @@ CUDA = "4.1, 5"
 ForwardDiff = "0.10"
 KernelAbstractions = "0.9"
 Krylov = "0.9"
+LazyArtifacts = "1.9"
 LightGraphs = "1.3"
+LinearAlgebra = "1.9"
 Metis = "1"
+Printf = "1.9"
+SparseArrays = "1.9"
 SparseDiffTools = "1"
 julia = "1.9"

README.md

@@ -13,7 +13,7 @@ Its main features are:
 
 ExaPF leverages [KernelAbstractions.jl](https://github.com/JuliaGPU/KernelAbstractions.jl)
 to generate portable kernels working on different backends.
-Right now, we NVIDA's CUDA and AMD's ROCm with [Intel oneAPI](https://github.com/JuliaGPU/oneAPI.jl) in development.
+Right now, we support NVIDA's CUDA and AMD's ROCm backends with [Intel oneAPI](https://github.com/JuliaGPU/oneAPI.jl) in development.
 
 ## Quick-start
 ### How to install ExaPF?