Prepared for Cuda execution

package/src/ExpressionExecutorCuda.jl

@@ -17,7 +17,7 @@ export test
 # Evaluate Expressions on the GPU
 function interpret_gpu(exprs::Vector{Expr}, X::Matrix{Float64}, p::Vector{Vector{Float64}})::Matrix{Float64}
 	# Ensure that no two expressions are interpreted in the same "warp"
-	expr1 = exprs[1]
+	exprsPostfix = ExpressionProcessing.expr_to_postfix(exprs[1])
 end
 
 # Convert Expressions to PTX Code and execute that instead

package/src/ExpressionProcessing.jl

@@ -4,17 +4,19 @@ export construct_symtable
 export replace_variables!
 export expr_to_postfix
 export SymbolTable64
+export PostfixType
 
 const SymbolTable64 = Dict{Tuple{Expr, Symbol},Float64}
+const PostfixType = Array{Union{Float64,String},1}
 
 # Maybe switch from Array{String} to Array{Union{Float64, Symbol}}?
-function expr_to_postfix(expr::Expr)::Array{Union{Float64,String}}
-	postfix = Array{Union{Float64,String},1}()
+function expr_to_postfix(expr::Expr)::PostfixType
+	postfix = PostfixType()
 	operator = String(expr.args[1])
 
 	# push!(postfix, expr.args[2], expr.args[3], operator)
-	for i in 2:length(expr.args)
-		arg = expr.args[i]
+	for j in 2:length(expr.args)
+		arg = expr.args[j]
 		if typeof(arg) === Expr
 			append!(postfix, expr_to_postfix(arg))
 		elseif typeof(arg) === Symbol

package/src/Interpreter.jl

@@ -1,5 +1,6 @@
 module Interpreter
 using CUDA
+include("ExpressionProcessing.jl")
 
 export CudaTest
 
@@ -30,6 +31,19 @@ function CudaTest()
 	println(y[1])
 end
 
+"Interprets the given expressions with the values provided.
+# Arguments
+ - expressions::Vector{ExpressionProcessing.PostfixType} : The expressions to execute in postfix form
+ - variables::Matrix{Float64} : The variables to use. Each column is mapped to the variables x1..xn
+ - parameters::Vector{Vector{Float64}} : The parameters to use. Each Vector contains the values for the parameters p1..pn. The number of parameters can be different for every expression
+"
+function Interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float64}, parameters::Vector{Vector{Float64}})
+	# TODO: 
+	#      create CUDA array and fill it with the expressions, variables and parameters
+	#      calculate needed number of threads, probably based off of the number of expressions, so I can ensure each warp takes the same execution path
+	#      Start the kernel
+end
+
 
 # Kernel
 function InterpretExplicit!(op::Operators, x, y)