Sharing data and computations across processors

so I have this code which I am trying to run over a cluster. I used spmd and distributed for (drange). It worked fine on local cluster but depolying it to remote cluster requires some work and I need to share the function test between workers so I used

addArrachedFiles('<path to the function>/test.m');

Basically the function test has two input variables a and b (this is a simplifeid code used for testing but actually the code is complex). I got an error "undefined variables a and b. I have seen some people use parfeval to evaluate functions. Can I use parfeval with distributed spmd and for-drange ? if not, what is the best way to code this program.

function [t,n]=test(a,b)
x=zeros(size(b));
% for i=1:size(a,2)
%    c=a(i)*exp(-b);
%    x(i)=sum(c);
%     
% end
t=sum(log(a*b));
n=mean(a*b); 

a=rand(1,100);
b=rand(3,4e3);
y=zeros(3,100);
x=zeros(3,100);
% y=[1 2;3 4;5 6];
% x=[7 8;9 10;11 12];

spmd
C1 = codistributed(x,codistributor1d(2));
C2 = codistributed(y,codistributor1d(2));
C3 = codistributed(a,codistributor1d(2));
 getLocalPart(C1)
  getLocalPart(C2)
  %getLocalPart(C3)

for i=drange(1:100)
   
  [C2(1,i),C1(1,i)]=test(C3(i),b(1,:)) ;
  y(1,i)=u1;x(1,i)=c1;
    [C2(2,i),C1(2,i)]=test(C3(i),b(2,:)) ;
   [C2(3,i),C1(3,i)]=test(C3(i),b(3,:)) ;
    y(2,i)=u2;x(2,i)=c2;
    y(3,i)=u3;x(3,i)=c3;
end
end
r1=gather(C1)
r2=gather(C2)