I mirror here my question at StackOverflow: How to increase stack size for Julia in Windows? - Stack Overflow
I wrote a recursive function (basically a flood fill), it works fine on smaller datasets, but for slightly larger input it throws
How to increase the stack size for Julia under Windows 10? Ideally the solution should be applicable to JupyterLab.
It’s a singe use program, no point in optimizing/rewriting it, I just need to peak at the result and forget about the code.
As a test case, I provide the following MWE. This is just a simple algorithm that recursively visits each cell of
n = 120 visited = fill(false, (n,n)) function visit_single_neighbour(i,j,Δi,Δj) if 1 ≤ i + Δi ≤ n && 1 ≤ j + Δj ≤ n if !visited[i+Δi, j+Δj] visited[i+Δi, j+Δj] = true visit_four_neighbours(i+Δi, j+Δj) end end end function visit_four_neighbours(i,j) visit_single_neighbour(i,j,1,0) visit_single_neighbour(i,j,0,1) visit_single_neighbour(i,j,-1,0) visit_single_neighbour(i,j,0,-1) end @time visit_four_neighbours(1,1)
n = 120 the output is
0.003341 seconds , but for
n = 121 it throws
On a Linux machine with
ulimit -s unlimited the code runs no problem for
n = 2000 and takes about 2.4 seconds.