The problem

I need to produce the same (pseudo) random number sequence on different machines and compilers. If I use the same kernel, it seems that the implementetion of mersenne twister (MT) in g++ works well: regardless if I compile my program on a newer machine, with g++ 4.9 or 4.7, I get the same random numbers. But I get different ones if I use older kernel or if I change to Visual Studio's compiler. That's ok, because there's no gurantee that mersenne_twister_engine::seed sets the internal state to the same over different compilers.

What I've already tried

I tought that applying operator<< on the generator produces a unique result that can be used to set the generators on other machines with the operator>>, but in case of mt19937, it seems it is not working. To make it clear, on a computer A I had the code

mt19937 generator1A;
uniform_int_distribution<int> distribution(0, 1000);

cout << "Generating random numbers with seed 1000" << endl;

generator1A.seed(1000);
generator1A();
ofstream test("testseed1000.txt");
test << generator1A << endl;

for (int i = 0; i < 10; ++i)
    cout << distribution(generator1A) << endl;

And it produces 252, 590, 893, ..., and a long file. I transfer the file to the other machine B, and run the following code:

mt19937 generator1B, generator2B;
uniform_int_distribution<int> distribution(0, 1000);

cout << "Generating random numbers with seed 1000, and with operator>>" << endl;
generator2B.seed(1000);

ifstream test("testseed1000.txt");

test >> generator1B;
cout << "************************" << endl;
cout << generator1B << endl;
cout << "************************" << endl;
cout << "With seed\twith operator>>" << endl;

for (int i = 0; i < 10; ++i)
    cout << distribution(generator2B) << "\t" << distribution(generator1B) << endl;

And it produces

654     205
205     115
115     610

The question

Can you give advices how to generate the same (pseudo) random numbers with at least VC++ on Windows and g++ on Debian and Ubuntu? I'd like to use std if it is possible and I wouldn't like to implement my own MT engine.

Notes:

• creating millions of random numbers and then reading in is not a solution


• I have to use MSVS for code developing and unix servers for simulation


• other than MT engines are also welcomed but I prefer MT