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diffusion3D_novis_noperf.jl
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diffusion3D_novis_noperf.jl
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const USE_GPU = true
using ParallelStencil
using ParallelStencil.FiniteDifferences3D
@static if USE_GPU
@init_parallel_stencil(CUDA, Float64, 3);
else
@init_parallel_stencil(Threads, Float64, 3);
end
@parallel function diffusion3D_step!(T2, T, Ci, lam, dt, dx, dy, dz)
@inn(T2) = @inn(T) + dt*(lam*@inn(Ci)*(@d2_xi(T)/dx^2 + @d2_yi(T)/dy^2 + @d2_zi(T)/dz^2));
return
end
function diffusion3D()
# Physics
lam = 1.0; # Thermal conductivity
cp_min = 1.0; # Minimal heat capacity
lx, ly, lz = 10.0, 10.0, 10.0; # Length of computational domain in dimension x, y and z
# Numerics
nx, ny, nz = 256, 256, 256; # Number of gridpoints in dimensions x, y and z
nt = 100; # Number of time steps
dx = lx/(nx-1); # Space step in x-dimension
dy = ly/(ny-1); # Space step in y-dimension
dz = lz/(nz-1); # Space step in z-dimension
# Array initializations
T = @zeros(nx, ny, nz);
T2 = @zeros(nx, ny, nz);
Ci = @zeros(nx, ny, nz);
# Initial conditions (heat capacity and temperature with two Gaussian anomalies each)
Ci .= 1.0./( cp_min .+ Data.Array([5*exp(-(((ix-1)*dx-lx/1.5))^2-(((iy-1)*dy-ly/2))^2-(((iz-1)*dz-lz/1.5))^2) +
5*exp(-(((ix-1)*dx-lx/3.0))^2-(((iy-1)*dy-ly/2))^2-(((iz-1)*dz-lz/1.5))^2) for ix=1:size(T,1), iy=1:size(T,2), iz=1:size(T,3)]) )
T .= Data.Array([100*exp(-(((ix-1)*dx-lx/2)/2)^2-(((iy-1)*dy-ly/2)/2)^2-(((iz-1)*dz-lz/3.0)/2)^2) +
50*exp(-(((ix-1)*dx-lx/2)/2)^2-(((iy-1)*dy-ly/2)/2)^2-(((iz-1)*dz-lz/1.5)/2)^2) for ix=1:size(T,1), iy=1:size(T,2), iz=1:size(T,3)])
T2 .= T; # Assign also T2 to get correct boundary conditions.
# Time loop
dt = min(dx^2,dy^2,dz^2)*cp_min/lam/8.1; # Time step for the 3D Heat diffusion
for it = 1:nt
@parallel diffusion3D_step!(T2, T, Ci, lam, dt, dx, dy, dz);
T, T2 = T2, T;
end
end
diffusion3D()