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roflmaostc avatar roflmaostc commented on September 21, 2024

Splitting it in two functions could remove the boxing:

# ╔═╡ 633d1ddc-131d-465a-ac8c-c382c972dc31
function radon_tullio(I, θs, zs)
	sinogram = similar(I, length(zs), length(θs))
	fill!(sinogram, 0)


	midpoint = size(I, 1) ÷ 2 + 1

	if I isa CuArray
		I_2 = linear_interpolation((1:size(I, 1), 1:size(I, 2)), I)
		I_int = adapt(CuArray{Float32}, I_2)
		@show "cuda"
	else
		I_int = linear_interpolation((1:size(I, 1), 1:size(I, 2)), I)
	end= sin.(θs)
	cθ = cos.(θs)

	t(θs, zs, sinogram, midpoint, I_int)
	return sinogram ./ maximum(sinogram)
end


# ╔═╡ 4e0f0aa8-614d-4bc3-bc93-94ba1235b1d7
function t(θs, zs, sinogram, midpoint, I_int)

	sθ = sin.(θs)
	cθ = cos.(θs)

	@tullio  sinogram[is, iθ] = @inbounds(begin
		x =  zs[z] * sθ[iθ] + zs[is] * cθ[iθ] + midpoint
		y = -zs[z] * cθ[iθ] + zs[is] * sθ[iθ] + midpoint
		I_int(y, x)
	end)
end

from tullio.jl.

roflmaostc avatar roflmaostc commented on September 21, 2024

So it works now but performance it not better than the threaded nested for loops on the CPU.

Is an 200x200 array and ranges of 200 to small?

from tullio.jl.

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