transpiler: results are now written in results array; preperation for performance testing
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@ -19,19 +19,18 @@ using ..Utils
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# Since the generated expressions should have between 10 and 50 symbols, I think allowing a max. of 128 32-bit registers should make for an easy algorithm. If during testing the result is slow, maybe try reducing the number of registers and perform more intelligent allocation/assignment
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# Since the generated expressions should have between 10 and 50 symbols, I think allowing a max. of 128 32-bit registers should make for an easy algorithm. If during testing the result is slow, maybe try reducing the number of registers and perform more intelligent allocation/assignment
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# With 128 Registers, one could have 32 Warps on one SM ((128 * 16 = 2048) * 32 == 64*1024 == max number of registers per SM) This means 512 Threads per SM in the worst case
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# With 128 Registers, one could have 32 Warps on one SM ((128 * 16 = 2048) * 32 == 64*1024 == max number of registers per SM) This means 512 Threads per SM in the worst case
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#
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# Make a "function execute(...)" that takes the data and the transpiled code. Pass the data to the kernel and start executing
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# Note: Maybe make an additional function that transpiles and executed the code. This would then be the function the user calls
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#
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const Operand = Union{Float32, String} # Operand is either fixed value or register
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const Operand = Union{Float32, String} # Operand is either fixed value or register
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cache = Dict{Expr, CuFunction}() # needed if multiple runs with the same expr but different parameters are performed
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function evaluate(expressions::Vector{ExpressionProcessing.PostfixType}, variables::Matrix{Float32}, parameters::Vector{Vector{Float32}})
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function evaluate(expressions::Vector{Expr}, variables::Matrix{Float32}, parameters::Vector{Vector{Float32}})
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varRows = size(variables, 1)
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varRows = size(variables, 1)
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variableCols = size(variables, 2)
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kernels = Vector{CuFunction}(undef, length(expressions))
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kernels = Vector{CuFunction}(undef, length(expressions))
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# Test this parallel version again when doing performance tests. With the simple "functionality" tests this took 0.03 seconds while sequential took "0.00009" seconds
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# Test this parallel version again when doing performance tests. With the simple "functionality" tests this took 0.03 seconds while sequential took "0.00009" seconds
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# Threads.@threads for i in eachindex(expressions)
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# Threads.@threads for i in eachindex(expressions)
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# TODO: Use cache
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# kernel = transpile(expressions[i], varRows, Utils.get_max_inner_length(parameters))
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# kernel = transpile(expressions[i], varRows, Utils.get_max_inner_length(parameters))
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# linker = CuLink()
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# linker = CuLink()
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@ -43,7 +42,13 @@ function evaluate(expressions::Vector{ExpressionProcessing.PostfixType}, variabl
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# kernels[i] = CuFunction(mod, "ExpressionProcessing")
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# kernels[i] = CuFunction(mod, "ExpressionProcessing")
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# end
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# end
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for i in eachindex(expressions)
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for i in eachindex(expressions)
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kernel = transpile(expressions[i], varRows, Utils.get_max_inner_length(parameters))
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if haskey(cache, expressions[i])
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kernels[i] = cache[expressions[i]]
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continue
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end
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formattedExpr = ExpressionProcessing.expr_to_postfix(expressions[i])
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kernel = transpile(formattedExpr, varRows, Utils.get_max_inner_length(parameters), variableCols, i)
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linker = CuLink()
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linker = CuLink()
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add_data!(linker, "ExpressionProcessing", kernel)
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add_data!(linker, "ExpressionProcessing", kernel)
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@ -52,6 +57,7 @@ function evaluate(expressions::Vector{ExpressionProcessing.PostfixType}, variabl
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mod = CuModule(image)
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mod = CuModule(image)
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kernels[i] = CuFunction(mod, "ExpressionProcessing")
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kernels[i] = CuFunction(mod, "ExpressionProcessing")
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cache[expressions[i]] = kernels[i]
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end
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end
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cudaVars = CuArray(variables) # maybe put in shared memory (see runtests.jl for more info)
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cudaVars = CuArray(variables) # maybe put in shared memory (see runtests.jl for more info)
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@ -61,13 +67,13 @@ function evaluate(expressions::Vector{ExpressionProcessing.PostfixType}, variabl
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cudaResults = CuArray{Float32}(undef, variableCols, length(expressions))
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cudaResults = CuArray{Float32}(undef, variableCols, length(expressions))
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# execute each kernel (also try doing this with Threads.@threads. Since we can have multiple grids, this might improve performance)
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# execute each kernel (also try doing this with Threads.@threads. Since we can have multiple grids, this might improve performance)
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variableCols = size(variables, 2)
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for i in eachindex(kernels)
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for i in eachindex(kernels)
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config = launch_configuration(kernels[i])
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config = launch_configuration(kernels[i])
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threads = min(variableCols, config.threads)
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threads = min(variableCols, config.threads)
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blocks = cld(variableCols, threads)
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blocks = cld(variableCols, threads)
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cudacall(kernels[i], Tuple{CuPtr{Cfloat},CuPtr{Cfloat},CuPtr{Cfloat}}, cudaVars, cudaParams, cudaResults; threads=threads, blocks=blocks)
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cudacall(kernels[i], Tuple{CuPtr{Float32},CuPtr{Float32},CuPtr{Float32}}, cudaVars, cudaParams, cudaResults; threads=threads, blocks=blocks)
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break
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end
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end
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end
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end
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@ -76,21 +82,24 @@ end
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"
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"
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- param ```varSetSize```: The size of a variable set. Equal to number of rows of variable matrix (in a column major matrix)
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- param ```varSetSize```: The size of a variable set. Equal to number of rows of variable matrix (in a column major matrix)
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- param ```paramSetSize```: The size of the longest parameter set. As it has to be stored in a column major matrix, the nr of rows is dependent oon the longest parameter set
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- param ```paramSetSize```: The size of the longest parameter set. As it has to be stored in a column major matrix, the nr of rows is dependent oon the longest parameter set
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- param ```expressionIndex```: The 1-based index of the expression
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"
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"
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function transpile(expression::ExpressionProcessing.PostfixType, varSetSize::Integer, paramSetSize::Integer)::String
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function transpile(expression::ExpressionProcessing.PostfixType, varSetSize::Integer, paramSetSize::Integer,
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nrOfVariableSets::Integer, expressionIndex::Integer)::String
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exitJumpLocationMarker = "\$L__BB0_2"
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exitJumpLocationMarker = "\$L__BB0_2"
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ptxBuffer = IOBuffer()
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ptxBuffer = IOBuffer()
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# TODO: Suboptimal solution
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# TODO: Suboptimal solution
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signature, paramLoading = get_kernel_signature("ExpressionProcessing", [Int32, Float32, Float32]) # nrOfVarSets, Vars, Params
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signature, paramLoading = get_kernel_signature("ExpressionProcessing", [Float32, Float32, Float32]) # nrOfVarSets, Vars, Params
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guardClause, threadIdReg = get_guard_clause(exitJumpLocationMarker, "%parameter0") # parameter0 because first entry holds the number of variable sets and that is always stored in %parameter0
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guardClause, threadIdReg = get_guard_clause(exitJumpLocationMarker, nrOfVariableSets) # parameter0 because first entry holds the number of variable sets and that is always stored in %parameter0
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println(ptxBuffer, get_cuda_header())
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println(ptxBuffer, get_cuda_header())
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println(ptxBuffer, signature)
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println(ptxBuffer, signature)
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println(ptxBuffer, "{")
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println(ptxBuffer, "{")
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calc_code = generate_calculation_code(expression, "%parameter1", varSetSize, "%parameter2", paramSetSize, threadIdReg)
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calc_code = generate_calculation_code(expression, "%parameter0", varSetSize, "%parameter1", paramSetSize, "%parameter2",
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threadIdReg, expressionIndex, nrOfVariableSets)
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println(ptxBuffer, get_register_definitions())
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println(ptxBuffer, get_register_definitions())
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println(ptxBuffer, paramLoading)
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println(ptxBuffer, paramLoading)
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println(ptxBuffer, guardClause)
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println(ptxBuffer, guardClause)
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@ -107,12 +116,15 @@ end
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# TODO: Make version, target and address_size configurable; also see what address_size means exactly
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# TODO: Make version, target and address_size configurable; also see what address_size means exactly
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function get_cuda_header()::String
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function get_cuda_header()::String
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return "
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return "
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.version 7.1
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.version 8.0
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.target sm_61
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.target sm_61
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.address_size 32
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.address_size 32
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"
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"
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end
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end
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"
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param ```parameters```: [1] = nr of var sets; [2] = variables; [3] = parameters; [4] = result
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"
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function get_kernel_signature(kernelName::String, parameters::Vector{DataType})::Tuple{String, String}
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function get_kernel_signature(kernelName::String, parameters::Vector{DataType})::Tuple{String, String}
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signatureBuffer = IOBuffer()
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signatureBuffer = IOBuffer()
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paramLoadingBuffer = IOBuffer()
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paramLoadingBuffer = IOBuffer()
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@ -123,9 +135,9 @@ function get_kernel_signature(kernelName::String, parameters::Vector{DataType}):
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for i in eachindex(parameters)
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for i in eachindex(parameters)
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print(signatureBuffer, " .param .u32", " ", "param_", i)
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print(signatureBuffer, " .param .u32", " ", "param_", i)
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parametersReg = get_next_free_register("r")
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parametersLocation = get_next_free_register("r")
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println(paramLoadingBuffer, "ld.param.u32 $parametersReg, [param_$i];")
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println(paramLoadingBuffer, "ld.param.u32 $parametersLocation, [param_$i];")
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println(paramLoadingBuffer, "cvta.to.global.u32 $(get_next_free_register("parameter")), $parametersReg;")
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println(paramLoadingBuffer, "cvta.to.global.u32 $(get_next_free_register("parameter")), $parametersLocation;")
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if i != lastindex(parameters)
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if i != lastindex(parameters)
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println(signatureBuffer, ",")
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println(signatureBuffer, ",")
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end
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end
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@ -140,7 +152,7 @@ Constructs the PTX code used for handling the case where too many threads are st
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- param ```nrOfVarSetsRegister```: The register which holds the total amount of variable sets for the kernel
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- param ```nrOfVarSetsRegister```: The register which holds the total amount of variable sets for the kernel
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"
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"
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function get_guard_clause(exitJumpLocation::String, nrOfVarSetsRegister::String)::Tuple{String, String}
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function get_guard_clause(exitJumpLocation::String, nrOfVarSets::Integer)::Tuple{String, String}
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guardBuffer = IOBuffer()
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guardBuffer = IOBuffer()
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threadIds = get_next_free_register("r")
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threadIds = get_next_free_register("r")
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@ -154,8 +166,6 @@ function get_guard_clause(exitJumpLocation::String, nrOfVarSetsRegister::String)
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globalThreadId = get_next_free_register("r") # basically the index of the thread in the variable set
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globalThreadId = get_next_free_register("r") # basically the index of the thread in the variable set
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breakCondition = get_next_free_register("p")
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breakCondition = get_next_free_register("p")
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nrOfVarSets = get_next_free_register("i")
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println(guardBuffer, "ld.global.u32 $nrOfVarSets, [$nrOfVarSetsRegister];")
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println(guardBuffer, "mad.lo.s32 $globalThreadId, $threadIds, $threadsPerCTA, $currentThreadId;")
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println(guardBuffer, "mad.lo.s32 $globalThreadId, $threadIds, $threadsPerCTA, $currentThreadId;")
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println(guardBuffer, "setp.ge.s32 $breakCondition, $globalThreadId, $nrOfVarSets;") # guard clause = index > nrOfVariableSets
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println(guardBuffer, "setp.ge.s32 $breakCondition, $globalThreadId, $nrOfVarSets;") # guard clause = index > nrOfVariableSets
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@ -168,8 +178,9 @@ end
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"
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"
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- param ```parametersSetSize```: Size of the largest parameter set
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- param ```parametersSetSize```: Size of the largest parameter set
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"
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"
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function generate_calculation_code(expression::ExpressionProcessing.PostfixType, variablesReg::String, variablesSetSize::Integer,
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function generate_calculation_code(expression::ExpressionProcessing.PostfixType, variablesLocation::String, variablesSetSize::Integer,
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parametersReg::String, parametersSetSize::Integer, threadIdReg::String)::String
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parametersLocation::String, parametersSetSize::Integer, resultsLocation::String,
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threadIdReg::String, expressionIndex::Integer, nrOfVarSets::Integer)::String
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codeBuffer = IOBuffer()
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codeBuffer = IOBuffer()
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operands = Vector{Operand}()
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operands = Vector{Operand}()
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@ -196,24 +207,37 @@ function generate_calculation_code(expression::ExpressionProcessing.PostfixType,
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if token.Value > 0 # varaibles
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if token.Value > 0 # varaibles
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var, first_access = get_register_for_name("x$(token.Value)")
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var, first_access = get_register_for_name("x$(token.Value)")
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if first_access
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if first_access
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println(codeBuffer, load_into_register(var, variablesReg, token.Value, threadIdReg, variablesSetSize))
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println(codeBuffer, load_into_register(var, variablesLocation, token.Value, threadIdReg, variablesSetSize))
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end
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end
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push!(operands, var)
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push!(operands, var)
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else
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else
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absVal = abs(token.Value)
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absVal = abs(token.Value)
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param, first_access = get_register_for_name("p$absVal")
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param, first_access = get_register_for_name("p$absVal")
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if first_access
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if first_access
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println(codeBuffer, load_into_register(param, parametersReg, absVal, threadIdReg, parametersSetSize))
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println(codeBuffer, load_into_register(param, parametersLocation, absVal, threadIdReg, parametersSetSize))
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end
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end
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push!(operands, param)
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push!(operands, param)
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end
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end
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end
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end
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end
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end
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# resultIndex = ((expressionIndex - 1) * nrOfVarSets + threadIdReg) * bytes (4 in our case)
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# resultsLocation[resultIndex] = "";
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tempReg = get_next_free_register("i")
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println(codeBuffer, "
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add.u32 $tempReg, $((expressionIndex-1)*nrOfVarSets), $threadIdReg;
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mul.lo.u32 $tempReg, $tempReg, $(sizeof(expressionIndex));
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add.u32 $tempReg, $resultsLocation, $tempReg;
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st.global.f32 [$tempReg], $(pop!(operands));
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")
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println(operands)
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return String(take!(codeBuffer))
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return String(take!(codeBuffer))
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end
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end
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"
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"
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Loads a value from a location into the given register. It is assumed that the location refers to a column-major matrix
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- param ```register```: The register where the loaded value will be stored
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- param ```register```: The register where the loaded value will be stored
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- param ```loadLocation```: The location from where to load the value
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- param ```loadLocation```: The location from where to load the value
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- param ```valueIndex```: 0-based index of the value in the variable set/parameter set
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- param ```valueIndex```: 0-based index of the value in the variable set/parameter set
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@ -263,6 +287,7 @@ function get_operation(operator::Operator, left::Operand, right::Union{Operand,
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elseif operator == POWER
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elseif operator == POWER
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# x^y == 2^(y*log2(x)) as generated by nvcc for "pow(x, y)"
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# x^y == 2^(y*log2(x)) as generated by nvcc for "pow(x, y)"
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resultCode = "
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resultCode = "
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// x^y:
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lg2.approx.f32 $resultRegister, $left;
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lg2.approx.f32 $resultRegister, $left;
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mul.f32 $resultRegister, $right, $resultRegister;
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mul.f32 $resultRegister, $right, $resultRegister;
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ex2.approx.f32 $resultRegister, $resultRegister;"
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ex2.approx.f32 $resultRegister, $resultRegister;"
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elseif operator == LOG
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elseif operator == LOG
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# log(x) == log2(x) * ln(2) as generated by nvcc for "log(x)"
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# log(x) == log2(x) * ln(2) as generated by nvcc for "log(x)"
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resultCode = "
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resultCode = "
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// log(x):
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lg2.approx.f32 $resultRegister, $left;
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lg2.approx.f32 $resultRegister, $left;
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mul.f32 $resultRegister, $resultRegister, 0.693147182;"
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mul.f32 $resultRegister, $resultRegister, 0.693147182;"
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elseif operator == EXP
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elseif operator == EXP
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# e^x == 2^(x/ln(2)) as generated by nvcc for "exp(x)"
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# e^x == 2^(x/ln(2)) as generated by nvcc for "exp(x)"
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resultCode = "
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resultCode = "
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// e^x:
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mul.f32 $resultRegister, $left, 1.44269502;
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mul.f32 $resultRegister, $left, 1.44269502;
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ex2.approx.f32 $resultRegister, $resultRegister;"
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ex2.approx.f32 $resultRegister, $resultRegister;"
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elseif operator == SQRT
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elseif operator == SQRT
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@ -1,5 +1,7 @@
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module Utils
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module Utils
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using CUDA
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"Converts a vector of vectors into a matrix. The inner vectors do not need to have the same length.
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"Converts a vector of vectors into a matrix. The inner vectors do not need to have the same length.
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All entries that cannot be filled have ```invalidElement``` as their value
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All entries that cannot be filled have ```invalidElement``` as their value
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@ -24,11 +24,11 @@ parameters[2][2] = 0.0
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postfixExpr = expr_to_postfix(expressions[1])
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postfixExpr = expr_to_postfix(expressions[1])
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postfixExprs = Vector([postfixExpr])
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postfixExprs = Vector([postfixExpr])
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push!(postfixExprs, expr_to_postfix(expressions[2]))
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push!(postfixExprs, expr_to_postfix(expressions[2]))
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push!(postfixExprs, expr_to_postfix(:(5^3 + x1)))
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push!(postfixExprs, expr_to_postfix(:(5^3 + x1 - p1)))
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# generatedCode = Transpiler.transpile(postfixExpr)
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# generatedCode = Transpiler.transpile(postfixExpr)
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generatedCode = Transpiler.transpile(postfixExprs[3], 2, 3) # TEMP
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generatedCode = Transpiler.transpile(postfixExprs[3], 2, 3, 2, 3) # TEMP
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# println(generatedCode)
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println(generatedCode)
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# CUDA.@sync interpret(postfixExprs, variables, parameters)
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# CUDA.@sync interpret(postfixExprs, variables, parameters)
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# This is just here for testing. This will be called inside the execute method in the Transpiler module
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# This is just here for testing. This will be called inside the execute method in the Transpiler module
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@ -42,11 +42,11 @@ parameters[2][2] = 0.0
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end
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end
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@testset "Test transpiler evaluation" begin
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@testset "Test transpiler evaluation" begin
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postfixExprs = Vector{ExpressionProcessing.PostfixType}()
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# postfixExprs = Vector{Expr}()
|
||||||
push!(postfixExprs, expr_to_postfix(expressions[1]))
|
# push!(postfixExprs, expressions[1])
|
||||||
push!(postfixExprs, expr_to_postfix(expressions[2]))
|
# push!(postfixExprs, expressions[2])
|
||||||
|
|
||||||
@time Transpiler.evaluate(postfixExprs, variables, parameters)
|
@time Transpiler.evaluate(expressions, variables, parameters)
|
||||||
end
|
end
|
||||||
|
|
||||||
#TODO: test performance of transpiler PTX generation when doing "return String(take!(buffer))" vs "return take!(buffer)"
|
#TODO: test performance of transpiler PTX generation when doing "return String(take!(buffer))" vs "return take!(buffer)"
|
||||||
|
|
Loading…
Reference in New Issue
Block a user