сделано, осталось дописать ридми

tsukanova_irina_lab_5/README.md

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+# Цуканова Ирина ПИбд-42
+# Лабораторная работа №5 - Параллельное перемножение матриц
+
+
+## Результат:
+
+
+## Вывод:
+
+
+## [Видео]()

tsukanova_irina_lab_5/main.py

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+import multiprocessing
+import time
+from time import time
+
+import numpy as np
+
+
+def matrix_multi(first, second, res, start_i, stop_i, size):
+    for i in range(start_i, stop_i):
+        for j in range(size):
+            res[i][j] = 0
+            for k in range(size):
+                res[i][j] += first[i][k] * second[k][j]
+
+
+def do(first, second, size, threads):
+    offset = int(size / threads)
+    offset_last = size % threads + offset
+
+    processes = []
+    res = np.zeros((size, size))
+    start_test = time()
+    for i in range(threads):
+        start_ = i * offset
+        stop_ = start_ + offset_last if i == threads - 1 else start_ + offset
+
+        process = multiprocessing.Process(target=matrix_multi, args=(first, second, res, start_, stop_, size))
+        processes.append(process)
+        process.start()
+
+    for p in processes:
+        p.join()
+    stop_test = time()
+    print(f'{n}x{n}, time: {stop_test - start_test}')
+
+
+if __name__ == "__main__":
+    threads_count = 20  # задание кол-ва потоков
+    sizes = [100, 300, 500]
+    test = [[5, 3, 4], [2, 8, 3], [6, 3, 4]]
+    test2 = [[4, 3, 6], [2, 8, 3], [5, 6, 4]]
+
+    threads_counts = [1, 4, 6, 8]
+    for threads in threads_counts:
+        print('-------------------------------------------------')
+        print(f'Threads:{threads}')
+        for n in sizes:
+            first_matrix = np.random.randint(3, size=(n, n))
+            second_matrix = np.random.randint(3, size=(n, n))
+            do(first_matrix, second_matrix, n, threads)
+
+        print('-------------------------------------------------')