How do I iterate a sample 1000 times?

I have simulated a sample of 1000 features where 100 are markers and 900 are non-markers. The variances for my samples come from an inverse wishart distribution with sigma=0.5 and kappa=3. I then used the variances generated as my variance to calculate a mean from a normal distribution with mean=0. From this, I generated the 1000 features from a normal distribution. I am using these samples to test different feature selection techniques and I am supposed to iterate each feature selection technique 1000 times. Is there a way of generating the 1000 sample sets simultaneously or do I need to generate each set one at a time?

Here is the code I am using to create my samples:

n0=50; %%%sample size in class 0
n1=50; %%sample size in class 1

x0=zeros(50,1000);  %%%data in class 0
x1=zeros(50,1000);  %%%data in class 1

%%%%first markers  
for i=1:100
v0=iwishrnd(0.5,3);
v1=iwishrnd(0.5,3); 
m0=normrnd(0,sqrt(v0/3));
m1=normrnd(0,sqrt(v1/3));

x0(:,i)=normrnd(m0,sqrt(v0),[n0 1]);
x1(:,i)=normrnd(m1,sqrt(v1),[n1 1]);
end
%%%now non-markers 
for i=101:1000
v=iwishrnd(0.5,3);

m=normrnd(0,sqrt(v/3));

x0(:,i)=normrnd(m,sqrt(v),[n0 1]);
x1(:,i)=normrnd(m,sqrt(v),[n1 1]);
end

any help would be greatly appreciated.