Distributed Dimensional Arrays

Hello, I’m trying to run this in parallel but the result is not what I want, and I need My DArray to be synchronized.

#2D Heat Equation.
using Distributed
addprocs(2)
@everywhere using DistributedArrays
@everywhere using LinearAlgebra
@everywhere n = 10  #grid has n - 2 interior points per dimension [overlapping]


@everywhere TOL = 1e-6
T = zeros(n,n)
T[1,1:n] .= 10 #TOP
T[n,1:n] .= 1  #BOTTOM
T[1:n,1] .= 1  #LEFT
T[1:n,n] .= 10  #RIGHT

T = distribute(T; dist=(2,1))
T=@sync(T)
x = range(0,step=1,length=size(T,1))
y = range(0,step=1,length=size(T,1))
dx = x[2]-x[1]
dy = y[2]-y[1]
dt = dx^2/4
maxit=1000
for z in 1:maxit
    @sync @distributed  for k in 1:2
        if myid()==2 
 
            for i in 2:length(localindices(T)[1])
                for j in 2:length(localindices(T)[2])-1
                    @async localpart(T)[i,j] = dt*((localpart(T)[i+1,j]-2*localpart(T)[i,j]+localpart(T)[i-1,j])/dx^2 +
                    (localpart(T)[i,j+1]-2*localpart(T)[i,j]+localpart(T)[i,j-1])/dy^2)+localpart(T)[i,j]
                end
            end
        else
            for i in 1:length(localindices(T)[1])-1
                for j in 2:length(localindices(T)[2])-1
                    @async localpart(T)[i,j] = dt*((localpart(T)[i+1,j]-2*localpart(T)[i,j]+localpart(T)[i-1,j])/dx^2 +
                    (localpart(T)[i,j+1]-2*localpart(T)[i,j]+localpart(T)[i,j-1])/dy^2)+localpart(T)[i,j]
                end
            end

        end
    end
end
T
This is what I get , but I don't need those Zeros in the middle , how can I synchronise this Array please
10×10 DArray{Float64,2,Array{Float64,2}}:
 1.0  10.0       10.0       10.0       …  10.0      10.0      10.0      10.0
 1.0   5.10999    6.55527    7.13223       7.87081   8.28623   8.98392  10.0
 1.0   2.88467    3.97886    4.56074       5.57927   6.29017   7.64947  10.0
 1.0   1.44985    1.91474    2.23027       2.96885   3.6457    5.32379  10.0
 1.0   0.0        0.0        0.0           0.0       0.0       0.0      10.0
 1.0   0.0        0.0        0.0       …   0.0       0.0       0.0      10.0
 1.0   0.54892    0.407347   0.390995      1.12958   2.13831   4.42286  10.0
 1.0   0.788332   0.689474   0.690817      1.70935   3.00079   5.55313  10.0
 1.0   0.914933   0.8714     0.881191      1.61978   2.60236   4.78887  10.0
 1.0   1.0        1.0        1.0           1.0       1.0       1.0      10.0