added first (wrong) attempt at implementing the interpretation. Added input explanation to the readme for a better understanding
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@ -13,12 +13,14 @@ export interpret
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function interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float64}, parameters::Vector{Vector{Float64}})
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# TODO:
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# create CUDA array for calculation results
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variableRows = size(variables, 1)
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cudaVars = CuArray(variables)
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cudaParams = create_cuda_array(parameters, NaN64)
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cudaExprs = create_cuda_array(expressions, ExpressionElement(EMPTY, 0))
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cudaParams = create_cuda_array(parameters, NaN64) # column corresponds to data for one expression
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cudaExprs = create_cuda_array(expressions, ExpressionElement(EMPTY, 0)) # column corresponds to data for one expression
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cudaStepsize = CuArray([get_max_inner_length(expressions), get_max_inner_length(parameters)]) # put into seperate cuArray, as this is static and would be inefficient to send seperatly to every kernel
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println(cudaVars)
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# Start kernel for each expression to ensure that no warp is working on different expressions
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for i in eachindex(expressions)
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kernel = @cuda launch=false interpret_expression(cudaExprs, cudaVars, cudaParams, cudaStepsize, i)
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@ -31,16 +33,45 @@ function interpret(expressions::Vector{ExpressionProcessing.PostfixType}, variab
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end
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function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float64}, parameters::CuDeviceArray{Float64}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
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firstExprIndex = (exprIndex - 1 * stepsize[1]) + 1 # Inclusive
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lastExprIndex = firstExprIndex + stepsize[1] # Exclusive
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firstParamIndex = (exprIndex - 1 * stepsize[2]) + 1 # Inclusive
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# lastParamIndex = firstParamIndex + stepsize[2] # Exclusive (probably not needed)
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firstExprIndex = ((exprIndex - 1) * stepsize[1]) + 1 # Inclusive
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lastExprIndex = firstExprIndex + stepsize[1] - 1 # Inclusive
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firstParamIndex = ((exprIndex - 1) * stepsize[2]) + 1 # Inclusive
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# lastParamIndex = firstParamIndex + stepsize[2] - 1 # Inclusive (probably not needed)
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for i in 1:5
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@cuprintln(variables[i])
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end
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# Not the correct approach. Redo this to be more stack based.
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for i in firstExprIndex:lastExprIndex
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# TODO Implement interpreter
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# - start at firstExprIndex and interpret until the first ExpressionElement is "Empty" or we reached lastExprIndex
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if expressions[i].Type == EMPTY
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break
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elseif expressions[i].Type == INT64
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# TODO: Load value from variables/parameters matrix and store for calculation
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val = expressions[i].Value
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if val > 0
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# TODO: access variables
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else
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val = abs(val)
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# TODO: access parameters
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end
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continue
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elseif expressions[i].Type == FLOAT64
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# TODO: store value as is for calculation
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continue
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elseif expressions[i].Type == OPERATOR
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# TODO: Perform calculation of the two stored values according to the operator
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continue
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else
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# TODO: handle this case. Should not happen but in case it does, it needs to do something
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continue
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end
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end
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# TODO: Store computed value in output matrix
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return
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end
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