benchmarking: redid inbounds tests because first test run did not use inbounds everywhere
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@ -71,12 +71,12 @@ function evaluate(expressions::Vector{Expr}, variables::Matrix{Float32}, paramet
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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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@inbounds for i in eachindex(kernels)
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for kernel in kernels
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# config = launch_configuration(kernels[i])
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threads = min(variableCols, 256)
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blocks = cld(variableCols, threads)
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cudacall(kernels[i], (CuPtr{Float32},CuPtr{Float32},CuPtr{Float32}), cudaVars, cudaParams, cudaResults; threads=threads, blocks=blocks)
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cudacall(kernel, (CuPtr{Float32},CuPtr{Float32},CuPtr{Float32}), cudaVars, cudaParams, cudaResults; threads=threads, blocks=blocks)
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end
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return cudaResults
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@ -64,6 +64,8 @@ end
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# https://cuda.juliagpu.org/v2.6/lib/driver/#Memory-Management
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end
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After these tests have been redone, use Nsight Compute/Systems as described here:
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#https://cuda.juliagpu.org/stable/development/profiling/#NVIDIA-Nsight-Systems
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compareWithCPU = true
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@ -172,15 +174,3 @@ else
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println(oldVsGPUT_std)
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end
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REDO @inbounds performance tests because I added more @inbounds and removed not needed code from interpreter
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Also updated Expression processing and transpiler
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After these tests have been redone, use Nsight Compute/Systems as described here:
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#https://cuda.juliagpu.org/stable/development/profiling/#NVIDIA-Nsight-Systems
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