From d9c83caad933d4504e275c49c3673ac692115d0f Mon Sep 17 00:00:00 2001 From: Daniel Date: Sun, 30 Mar 2025 13:56:25 +0200 Subject: [PATCH] benchmarking: updated blocksize to 256 with moderate improvements --- package/src/Interpreter.jl | 105 ++++++++-------- package/src/Transpiler.jl | 4 +- package/test/PerformanceTests.jl | 119 +++++++++++------- package/test/results/256_blocksize.json | 1 + .../test/{ => results}/initial_results.json | 0 5 files changed, 129 insertions(+), 100 deletions(-) create mode 100644 package/test/results/256_blocksize.json rename package/test/{ => results}/initial_results.json (100%) diff --git a/package/src/Interpreter.jl b/package/src/Interpreter.jl index 4656401..d12afb7 100644 --- a/package/src/Interpreter.jl +++ b/package/src/Interpreter.jl @@ -32,8 +32,8 @@ function interpret(expressions::Vector{Expr}, variables::Matrix{Float32}, parame # Start kernel for each expression to ensure that no warp is working on different expressions for i in eachindex(exprs) kernel = @cuda launch=false interpret_expression(cudaExprs, cudaVars, cudaParams, cudaResults, cudaStepsize, i) - config = launch_configuration(kernel.fun) - threads = min(variableCols, config.threads) + # config = launch_configuration(kernel.fun) + threads = min(variableCols, 256) blocks = cld(variableCols, threads) kernel(cudaExprs, cudaVars, cudaParams, cudaResults, cudaStepsize, i; threads, blocks) @@ -46,7 +46,6 @@ end const MAX_STACK_SIZE = 25 # The depth of the stack to store the values and intermediate results function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float32}, parameters::CuDeviceArray{Float32}, results::CuDeviceArray{Float32}, stepsize::CuDeviceArray{Int}, exprIndex::Int) varSetIndex = (blockIdx().x - 1) * blockDim().x + threadIdx().x # ctaid.x * ntid.x + tid.x (1-based) - # stride = gridDim().x * blockDim().x # nctaid.x * ntid.x variableCols = length(variables) / stepsize[3] if varSetIndex > variableCols @@ -60,61 +59,59 @@ function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, var operationStack = MVector{MAX_STACK_SIZE, Float32}(undef) # Try to get this to function with variable size too, to allow better memory usage operationStackTop = 0 # stores index of the last defined/valid value - # for varSetIndex in index:stride - firstVariableIndex = ((varSetIndex-1) * stepsize[3]) # Exclusive - - for i in firstExprIndex:lastExprIndex - if expressions[i].Type == EMPTY - break - elseif expressions[i].Type == INDEX - val = expressions[i].Value - operationStackTop += 1 + firstVariableIndex = ((varSetIndex-1) * stepsize[3]) # Exclusive + + for i in firstExprIndex:lastExprIndex + if expressions[i].Type == EMPTY + break + elseif expressions[i].Type == INDEX + val = expressions[i].Value + operationStackTop += 1 - if val > 0 - operationStack[operationStackTop] = variables[firstVariableIndex + val] - else - val = abs(val) - operationStack[operationStackTop] = parameters[firstParamIndex + val] - end - elseif expressions[i].Type == FLOAT32 - operationStackTop += 1 - operationStack[operationStackTop] = reinterpret(Float32, expressions[i].Value) - elseif expressions[i].Type == OPERATOR - type = reinterpret(Operator, expressions[i].Value) - if type == ADD - operationStackTop -= 1 - operationStack[operationStackTop] = operationStack[operationStackTop] + operationStack[operationStackTop + 1] - elseif type == SUBTRACT - operationStackTop -= 1 - operationStack[operationStackTop] = operationStack[operationStackTop] - operationStack[operationStackTop + 1] - elseif type == MULTIPLY - operationStackTop -= 1 - operationStack[operationStackTop] = operationStack[operationStackTop] * operationStack[operationStackTop + 1] - elseif type == DIVIDE - operationStackTop -= 1 - operationStack[operationStackTop] = operationStack[operationStackTop] / operationStack[operationStackTop + 1] - elseif type == POWER - operationStackTop -= 1 - operationStack[operationStackTop] = operationStack[operationStackTop] ^ operationStack[operationStackTop + 1] - elseif type == ABS - operationStack[operationStackTop] = abs(operationStack[operationStackTop]) - elseif type == LOG - operationStack[operationStackTop] = log(operationStack[operationStackTop]) - elseif type == EXP - operationStack[operationStackTop] = exp(operationStack[operationStackTop]) - elseif type == SQRT - operationStack[operationStackTop] = sqrt(operationStack[operationStackTop]) - end + if val > 0 + operationStack[operationStackTop] = variables[firstVariableIndex + val] else - operationStack[operationStackTop] = NaN - break + val = abs(val) + operationStack[operationStackTop] = parameters[firstParamIndex + val] end + elseif expressions[i].Type == FLOAT32 + operationStackTop += 1 + operationStack[operationStackTop] = reinterpret(Float32, expressions[i].Value) + elseif expressions[i].Type == OPERATOR + type = reinterpret(Operator, expressions[i].Value) + if type == ADD + operationStackTop -= 1 + operationStack[operationStackTop] = operationStack[operationStackTop] + operationStack[operationStackTop + 1] + elseif type == SUBTRACT + operationStackTop -= 1 + operationStack[operationStackTop] = operationStack[operationStackTop] - operationStack[operationStackTop + 1] + elseif type == MULTIPLY + operationStackTop -= 1 + operationStack[operationStackTop] = operationStack[operationStackTop] * operationStack[operationStackTop + 1] + elseif type == DIVIDE + operationStackTop -= 1 + operationStack[operationStackTop] = operationStack[operationStackTop] / operationStack[operationStackTop + 1] + elseif type == POWER + operationStackTop -= 1 + operationStack[operationStackTop] = operationStack[operationStackTop] ^ operationStack[operationStackTop + 1] + elseif type == ABS + operationStack[operationStackTop] = abs(operationStack[operationStackTop]) + elseif type == LOG + operationStack[operationStackTop] = log(operationStack[operationStackTop]) + elseif type == EXP + operationStack[operationStackTop] = exp(operationStack[operationStackTop]) + elseif type == SQRT + operationStack[operationStackTop] = sqrt(operationStack[operationStackTop]) + end + else + operationStack[operationStackTop] = NaN + break end - # "(exprIndex - 1) * variableCols" -> calculates the column in which to insert the result (expression = column) - # "+ varSetIndex" -> to get the row inside the column at which to insert the result of the variable set (variable set = row) - resultIndex = convert(Int, (exprIndex - 1) * variableCols + varSetIndex) # Inclusive - results[resultIndex] = operationStack[operationStackTop] - # end + end + # "(exprIndex - 1) * variableCols" -> calculates the column in which to insert the result (expression = column) + # "+ varSetIndex" -> to get the row inside the column at which to insert the result of the variable set (variable set = row) + resultIndex = convert(Int, (exprIndex - 1) * variableCols + varSetIndex) # Inclusive + results[resultIndex] = operationStack[operationStackTop] return end diff --git a/package/src/Transpiler.jl b/package/src/Transpiler.jl index 57248e3..1af2d9a 100644 --- a/package/src/Transpiler.jl +++ b/package/src/Transpiler.jl @@ -55,8 +55,8 @@ function evaluate(expressions::Vector{Expr}, variables::Matrix{Float32}, paramet # execute each kernel (also try doing this with Threads.@threads. Since we can have multiple grids, this might improve performance) for i in eachindex(kernels) - config = launch_configuration(kernels[i]) - threads = min(variableCols, config.threads) + # config = launch_configuration(kernels[i]) + threads = min(variableCols, 256) blocks = cld(variableCols, threads) cudacall(kernels[i], (CuPtr{Float32},CuPtr{Float32},CuPtr{Float32}), cudaVars, cudaParams, cudaResults; threads=threads, blocks=blocks) diff --git a/package/test/PerformanceTests.jl b/package/test/PerformanceTests.jl index 4356d95..57cb52f 100644 --- a/package/test/PerformanceTests.jl +++ b/package/test/PerformanceTests.jl @@ -64,6 +64,7 @@ end # https://cuda.juliagpu.org/v2.6/lib/driver/#Memory-Management end +compareWithCPU = true suite = BenchmarkGroup() @@ -74,12 +75,14 @@ varsets_small = 100 varsets_medium = 1000 varsets_large = 10000 -X_small = randn(Float32, varsets_small, 5) -suite["CPU"]["small varset"] = @benchmarkable interpret_cpu(exprsCPU, X_small, p; repetitions=expr_reps) -X_medium = randn(Float32, varsets_medium, 5) -suite["CPU"]["medium varset"] = @benchmarkable interpret_cpu(exprsCPU, X_medium, p; repetitions=expr_reps) -X_large = randn(Float32, varsets_large, 5) -suite["CPU"]["large varset"] = @benchmarkable interpret_cpu(exprsCPU, X_large, p; repetitions=expr_reps) +if compareWithCPU + X_small = randn(Float32, varsets_small, 5) + suite["CPU"]["small varset"] = @benchmarkable interpret_cpu(exprsCPU, X_small, p; repetitions=expr_reps) + X_medium = randn(Float32, varsets_medium, 5) + suite["CPU"]["medium varset"] = @benchmarkable interpret_cpu(exprsCPU, X_medium, p; repetitions=expr_reps) + X_large = randn(Float32, varsets_large, 5) + suite["CPU"]["large varset"] = @benchmarkable interpret_cpu(exprsCPU, X_large, p; repetitions=expr_reps) +end X_small_GPU = randn(Float32, 5, varsets_small) suite["GPUI"]["small varset"] = @benchmarkable interpret_gpu(exprsGPU, X_small_GPU, p; repetitions=expr_reps) @@ -102,45 +105,73 @@ loadparams!(suite, BenchmarkTools.load("params.json")[1], :samples, :evals, :gct results = run(suite, verbose=true, seconds=180) -# BenchmarkTools.save("$BENCHMARKS_RESULTS_PATH/initial_results.json", results) -# initial_results = BenchmarkTools.load("$BENCHMARKS_RESULTS_PATHinitial_results.json") - -medianCPU = median(results["CPU"]) -minimumCPU = minimum(results["CPU"]) -stdCPU = std(results["CPU"]) - -medianInterpreter = median(results["GPUI"]) -minimumInterpreter = minimum(results["GPUI"]) -stdInterpreter = std(results["GPUI"]) - -medianTranspiler = median(results["GPUT"]) -minimumTranspiler = minimum(results["GPUT"]) -stdTranspiler = std(results["GPUT"]) - -cpuVsGPUI_median = judge(medianInterpreter, medianCPU) # is interpreter better than cpu? -cpuVsGPUT_median = judge(medianTranspiler, medianCPU) # is transpiler better than cpu? -gpuiVsGPUT_median = judge(medianTranspiler, medianInterpreter) # is tranpiler better than interpreter? - -cpuVsGPUI_minimum = judge(minimumInterpreter, minimumCPU) # is interpreter better than cpu? -cpuVsGPUT_minimum = judge(minimumTranspiler, minimumCPU) # is transpiler better than cpu? -gpuiVsGPUT_minimum = judge(minimumTranspiler, minimumInterpreter) # is tranpiler better than interpreter? - -cpuVsGPUI_std = judge(stdInterpreter, stdCPU) # is interpreter better than cpu? -cpuVsGPUT_std = judge(stdTranspiler, stdCPU) # is transpiler better than cpu? -gpuiVsGPUT_std = judge(stdTranspiler, stdInterpreter) # is tranpiler better than interpreter? +BenchmarkTools.save("$BENCHMARKS_RESULTS_PATH/256_blocksize.json", results) -println("Is the interpreter better than the CPU implementation:") -println(cpuVsGPUI_median) -println(cpuVsGPUI_minimum) -println(cpuVsGPUI_std) -println("Is the transpiler better than the CPU implementation:") -println(cpuVsGPUT_median) -println(cpuVsGPUT_minimum) -println(cpuVsGPUT_std) +if compareWithCPU + medianCPU = median(results["CPU"]) + stdCPU = std(results["CPU"]) + + medianInterpreter = median(results["GPUI"]) + stdInterpreter = std(results["GPUI"]) + + medianTranspiler = median(results["GPUT"]) + stdTranspiler = std(results["GPUT"]) + + cpuVsGPUI_median = judge(medianInterpreter, medianCPU) # is interpreter better than cpu? + cpuVsGPUT_median = judge(medianTranspiler, medianCPU) # is transpiler better than cpu? + gpuiVsGPUT_median = judge(medianTranspiler, medianInterpreter) # is tranpiler better than interpreter? + + cpuVsGPUI_std = judge(stdInterpreter, stdCPU) # is interpreter better than cpu? + cpuVsGPUT_std = judge(stdTranspiler, stdCPU) # is transpiler better than cpu? + gpuiVsGPUT_std = judge(stdTranspiler, stdInterpreter) # is tranpiler better than interpreter? + + println() + println("Is the interpreter better than the CPU implementation:") + println(cpuVsGPUI_median) + println(cpuVsGPUI_std) + + println() + println("Is the transpiler better than the CPU implementation:") + println(cpuVsGPUT_median) + println(cpuVsGPUT_std) + + println() + println("Is the transpiler better than the interpreter:") + println(gpuiVsGPUT_median) + println(gpuiVsGPUT_std) + +else + resultsOld = BenchmarkTools.load("$BENCHMARKS_RESULTS_PATH/initial_results.json")[1] + + medianGPUI_old = median(resultsOld["GPUI"]) + stdGPUI_old = std(resultsOld["GPUI"]) + + medianGPUT_old = median(resultsOld["GPUT"]) + stdGPUT_old = std(resultsOld["GPUT"]) + + medianInterpreter = median(results["GPUI"]) + stdInterpreter = std(results["GPUI"]) + + medianTranspiler = median(results["GPUT"]) + stdTranspiler = std(results["GPUT"]) + + oldVsGPUI_median = judge(medianInterpreter, medianGPUI_old) # is interpreter better than old? + oldVsGPUI_std = judge(stdInterpreter, stdGPUI_old) # is interpreter better than old? + + oldVsGPUT_median = judge(medianTranspiler, medianGPUT_old) # is transpiler better than old? + oldVsGPUT_std = judge(stdTranspiler, stdGPUT_old) # is transpiler better than old? + + + println() + println("Is the interpreter better than the old implementation:") + println(oldVsGPUI_median) + println(oldVsGPUI_std) + + println() + println("Is the transpiler better than the old implementation:") + println(oldVsGPUT_median) + println(oldVsGPUT_std) +end -println("Is the transpiler better than the interpreter:") -println(gpuiVsGPUT_median) -println(gpuiVsGPUT_minimum) -println(gpuiVsGPUT_std) diff --git a/package/test/results/256_blocksize.json b/package/test/results/256_blocksize.json new file mode 100644 index 0000000..fc2b784 --- /dev/null +++ b/package/test/results/256_blocksize.json @@ -0,0 +1 @@ +[{"Julia":"1.11.4","BenchmarkTools":{"major":1,"minor":6,"patch":0,"prerelease":[],"build":[]}},[["BenchmarkGroup",{"data":{"CPU":["BenchmarkGroup",{"data":{"medium 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\ No newline at end of file diff --git a/package/test/initial_results.json b/package/test/results/initial_results.json similarity index 100% rename from package/test/initial_results.json rename to package/test/results/initial_results.json