I tried a cpp program which uses threads on 12th Gen Intel(R) Core(TM) i7-1265U and got no errors, when trying the same program on a container running on Intel(R) Xeon(R) Silver 4216 CPU @ 2.10GHz I get the following error error image.

#include <iostream>
#include <cstdlib>
#include <thread>
#include <chrono>
#include<vector>

using namespace std;
using namespace std::chrono;

void fillRandom(float *arr, int size) {
    for (int i = 0; i < size; ++i) {
        arr[i] = static_cast<float>(rand()) / RAND_MAX * 10.0;
}
}
void helper(float *c,float*a,float*b,int n,int o,int i,int j)
{
            int t=0,l;
            for (l = 0; l < o; l++) {
                t += a[i * o + l] * b[l * n + j];
            }
            c[i * n + j] = t;

}
void matmul(float *a, float *b, float *c, int m, int n, int o) {
    vector <thread> threads;
    int i, j, l, t;
    for (i = 0; i < m; i++) {
        for (j = 0; j < n; j++) {

            threads.emplace_back(&helper,c,a,b,n,o,i,j);
        }
    }
    for(auto& th : threads){
    th.join();
}
}

int main(int argc, char *argv[]) {
    if (argc != 3) {
        cout << "Usage: " << argv[0] << " <matrix_size> <repetitions>" << endl;
        return 1;
    }

    srand(static_cast<unsigned int>(time(nullptr)));

    int m = atoi(argv[1]);
    int n = m;
    int repetitions = atoi(argv[2]);

    float *a = new float[m * n];
    float *b = new float[m * n];
    float *c = new float[m * n];

    fillRandom(a, m * n);
    fillRandom(b, m * n);


    for (int rep = 0; rep < repetitions; ++rep) {
        auto start = high_resolution_clock::now();
        matmul(a, b, c, m, n, m);
        auto stop = high_resolution_clock::now();
        auto duration = duration_cast<milliseconds>(stop - start);
        cout << "Time taken for " << rep<< "th repetition is " << duration.count() << " milliseconds" << endl;


    }



    delete[] a;
    delete[] b;
    delete[] c;

    return 0;
}

This is a mulit-threaded matrix multiply code, I am new to this, some help would be great, thanks.