new version 0.6.0

Author: decarvalhojunior-fh

Project.toml

@@ -1,7 +1,7 @@
 name = "PlatformAware"
 uuid = "e7c50b67-2c03-471e-9cf2-69e515d86ecf"
 authors = ["Francisco Heron de Carvalho Junior <heron@dc.ufc.br> and contributors"]
-version = "0.5.1"
+version = "0.6.0"
 
 [deps]
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"

src/features/quantifiers/macros.jl

@@ -59,6 +59,7 @@ macro just(m,x)
     Meta.parse("Tuple{$M,$N,$(x)}")
 end
 
+
 macro unrestricted()
     @atleast 0
 end

test/basics.jl

@@ -25,26 +25,25 @@
         println(z,": default implementation of kernel_example:")
     end
 
+
     # specify platform-aware implementations
-    @platform aware function kernel({accelerator_count::(@atleast 1)},
-                                    x,y,args...; z=1, kwargs...)
+    @platform aware function kernel({accelerator_count::(@atleast 1)}, y, args...; z=1, kwargs...)
         println(z,": kernel for 1 accelerators of unspecified kind")
     end
 
     @platform aware function kernel({accelerator_count::Tuple{AtLeast1,AtMostInf,C} #=(@atleast(1,C))=#,
                                      accelerator_manufacturer::NVIDIA,
-                                     accelerator_api::(@api CUDA 3.0)},
-                                    x::@atleast(1),y,args...; z=2, kwargs...) where C
+                                     accelerator_api::(@api CUDA 6.0)},y,args...; z=2, kwargs...) where C
         println(z,": kernel 1 for $C NVIDIA accelerators")
     end
 
     @platform aware function kernel({accelerator_count::Tuple{AtLeast1,AtMostInf,C}#=(@atleast(1,C))=#,
                                      accelerator_manufacturer::NVIDIA,
-                                     accelerator_api::(@api CUDA 3.0)},
-                                    x::@atleast(16),y,args...; z=2, kwargs...) where C
+                                     accelerator_api::(@api CUDA 5.0)},y,args...; z=2, kwargs...) where C
         println(z,": kernel 2 for $C NVIDIA accelerators")
     end
 
+
     @platform assumption some_cluster = {node_count::(@atleast 32), processor::IntelCore_i7_7500U}
 
     @platform aware function kernel($some_cluster, x,y,args...; z=3, kwargs...)