benchmarking: further tests done. Seems like transpiler takes ages, need to investigate further
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@ -18,7 +18,7 @@ function interpret(expressions::Vector{Expr}, variables::Matrix{Float32}, parame
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@inbounds for i in eachindex(expressions)
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exprs[i] = ExpressionProcessing.expr_to_postfix(expressions[i])
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end
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variableCols = size(variables, 2) # number of variable sets to use for each expression
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cudaVars = CuArray(variables)
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cudaParams = Utils.create_cuda_array(parameters, NaN32) # column corresponds to data for one expression
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@ -30,7 +30,7 @@ function interpret(expressions::Vector{Expr}, variables::Matrix{Float32}, parame
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cudaResults = CuArray{Float32}(undef, variableCols, length(exprs))
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# Start kernel for each expression to ensure that no warp is working on different expressions
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@inbounds for i in eachindex(exprs)
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@inbounds Threads.@threads for i in eachindex(exprs)
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numThreads = min(variableCols, 256)
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numBlocks = cld(variableCols, numThreads)
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