Matrix multiplication combines each row of matrix A with each column of matrix B. Each result cell is a weighted sum of corresponding values. The simple iterative method for two square n × n matrices takes O(n³) time, so doubling n multiplies the work by eight. section 6.2.3
Parallel computation assigns one result row to each goroutine. A barrier first waits until the input matrices are loaded, and a second barrier waits until every row is complete before printing the result. This separates shared input preparation from concurrent calculation.
Repeated random matrices
A Go program generates 3 × 3 matrices with values from −5 through 4, multiplies them concurrently, and prints both inputs alongside each computed result.
