# Matrixlication with pthreads in is a concise self-contained example multiplies matrices (M x) and B (K x N) usingIX threads. work is split rows of the matrix C (M x). - Each thread a contiguous block of. Uses allocation for matrices- withpthread``` <stdio.h> #include <stdlib.h> #include <.h> // Thread payload describing which rows to compute typedef { const double* A; M x K const double* B; // x N double* C; // M x N M, N K; int start_row; int end_row; // exclusive } thread_args_t; // function compute C[ij for instart_row,_row) static* thread_mm(void* arg) { _args* t = (thread_targ (int i = t->start_row; i < t->end_row; ++i) for ( j = ; < t->N; ++j { double sum =. for (int k = ; k < t->K; ++k { sum += tA[i * t-> + k] t->B[k * t->N + j]; } tC * t->N + j] = sum } return NULL; } // Multithreaded matrix multiply C AM x K) * B (K x) mat_p(const double*, const double* B, double C M, int N, int K int_threads) { ifM <= || <= || K <= ); pthread_t* threads =