Matrix Multiplication on Multi-Processors: MPI4PY
In this scenario, each processor handles a portion of the matrices, performing computations independently, and then the results are combined to obtain the final result. This parallelization technique leverages the capabilities of multiple processors to expedite the overall computation time. Code: Explanation Import MPI Module and Initialize MPI Environment This line imports the MPI module from the mpi4py package, enabling the use of MPI functionalities. These lines initialize the MPI environment. MPI.COMM_WORLD creates a communicator object representing all processes in…
