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ИСЭбд-41 Никифорова Татьяна Сергеевна. + +## Создание приложения + +Выбрала язык Python. + +Запустим алгоритм с матрицей 10x10 c различными алгоритмами. + +![](picture/1.png) +![](picture/2.png) + +## Бенчмарки + +Протекстируем обычный и паралелльный с различными размерами матриц. + +Матрица 100х100 + +![](picture/3-100.png) +![](picture/4.png) + +Матрица 300х300 + +![](picture/5-300.png) +![](picture/6.png) + +Матрица 500х500 + +![](picture/7-500.png) +![](picture/8.png) + +Вывод: Для небольших матриц и с небольшим количеством ядер процессора параллельная реализация может не всегда оказаться быстрее из-за дополнительных накладных расходов. + + + + + diff --git a/tasks/nikiforova-ts/Lab_5/picture/1.png b/tasks/nikiforova-ts/Lab_5/picture/1.png new file mode 100644 index 0000000..601858e Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/1.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/2.png b/tasks/nikiforova-ts/Lab_5/picture/2.png new file mode 100644 index 0000000..bc86398 Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/2.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/3-100.png b/tasks/nikiforova-ts/Lab_5/picture/3-100.png new file mode 100644 index 0000000..46fc668 Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/3-100.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/4.png b/tasks/nikiforova-ts/Lab_5/picture/4.png new file mode 100644 index 0000000..38e4ac1 Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/4.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/5-300.png b/tasks/nikiforova-ts/Lab_5/picture/5-300.png new file mode 100644 index 0000000..0f7435e Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/5-300.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/6.png b/tasks/nikiforova-ts/Lab_5/picture/6.png new file mode 100644 index 0000000..431a593 Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/6.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/7-500.png b/tasks/nikiforova-ts/Lab_5/picture/7-500.png new file mode 100644 index 0000000..9aa909e Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/7-500.png differ diff --git a/tasks/nikiforova-ts/Lab_5/picture/8.png b/tasks/nikiforova-ts/Lab_5/picture/8.png new file mode 100644 index 0000000..2c130c8 Binary files /dev/null and b/tasks/nikiforova-ts/Lab_5/picture/8.png differ diff --git a/tasks/nikiforova-ts/Lab_5/work/Lab5.py b/tasks/nikiforova-ts/Lab_5/work/Lab5.py new file mode 100644 index 0000000..4458aa1 --- /dev/null +++ b/tasks/nikiforova-ts/Lab_5/work/Lab5.py @@ -0,0 +1,100 @@ +import numpy as np +import tkinter as tk +from tkinter import ttk +from multiprocessing import Pool +import time + +def multiply_matrices_sequential(matrix_a, matrix_b): + return np.dot(matrix_a, matrix_b) + +def multiply_matrices_parallel(args): + row, matrix_a, matrix_b, cols = args + return [sum(matrix_a[row, k] * matrix_b[k, col] for k in range(cols)) for col in range(cols)] + +def multiply_matrices(matrix_size, parallel=False, num_threads=None): + matrix_a = np.random.randint(1, 10, size=(matrix_size, matrix_size)) # Генерация целых чисел от 1 до 10 + matrix_b = np.random.randint(1, 10, size=(matrix_size, matrix_size)) + + if parallel: + start_time = time.time() + args = [(row, matrix_a, matrix_b, matrix_size) for row in range(matrix_size)] + + with Pool(num_threads) as pool: + result = np.array(pool.map(multiply_matrices_parallel, args)) + + end_time = time.time() + else: + start_time = time.time() + result = multiply_matrices_sequential(matrix_a, matrix_b) + end_time = time.time() + + execution_time = end_time - start_time + + return matrix_a, matrix_b, result, execution_time + +def run_multiplication(): + matrix_size = int(matrix_size_entry.get()) + algorithm_choice = algorithm_var.get() + parallel = True if algorithm_choice == 'Параелльный' else False + num_threads = int(threads_entry.get()) if parallel else None + + matrix_a, matrix_b, result, execution_time = multiply_matrices(matrix_size, parallel, num_threads) + + result_text.config(state=tk.NORMAL) + result_text.delete("1.0", tk.END) + result_text.insert(tk.END, f"Результат:\n{result}\n\nВремя: {execution_time:.6f} секунд") + result_text.config(state=tk.DISABLED) + + matrix_a_text.config(state=tk.NORMAL) + matrix_a_text.delete("1.0", tk.END) + matrix_a_text.insert(tk.END, f"Матрица A:\n{matrix_a}") + matrix_a_text.config(state=tk.DISABLED) + + matrix_b_text.config(state=tk.NORMAL) + matrix_b_text.delete("1.0", tk.END) + matrix_b_text.insert(tk.END, f"Матрица B:\n{matrix_b}") + matrix_b_text.config(state=tk.DISABLED) + +# GUI setup +root = tk.Tk() +root.title("Matrix Multiplication") + +# Matrix Size +matrix_size_label = ttk.Label(root, text="Размер матрицы:") +matrix_size_label.grid(row=0, column=0, padx=5, pady=5) +matrix_size_entry = ttk.Entry(root) +matrix_size_entry.grid(row=0, column=1, padx=5, pady=5) +matrix_size_entry.insert(0, "") + +# Algorithm Choice +algorithm_label = ttk.Label(root, text="Алгоритм:") +algorithm_label.grid(row=1, column=0, padx=5, pady=5) +algorithm_var = tk.StringVar(value="Обычный") +algorithm_combobox = ttk.Combobox(root, textvariable=algorithm_var, values=["Обычный", "Паралелльный"]) +algorithm_combobox.grid(row=1, column=1, padx=5, pady=5) + +# Threads (only for parallel algorithm) +threads_label = ttk.Label(root, text="Потоки:") +threads_label.grid(row=2, column=0, padx=5, pady=5) +threads_entry = ttk.Entry(root) +threads_entry.grid(row=2, column=1, padx=5, pady=5) +threads_entry.insert(0, "4") +#threads_entry.state(['readonly']) # make it read-only initially + +# Run Button +run_button = ttk.Button(root, text="Начать", command=run_multiplication) +run_button.grid(row=3, column=0, columnspan=2, pady=10) + +# Result Text +result_text = tk.Text(root, height=15, width=50, state=tk.DISABLED) +result_text.grid(row=4, column=0, columnspan=2, padx=10, pady=10) + +# Generated Matrix A +matrix_a_text = tk.Text(root, height=10, width=25, state=tk.DISABLED) +matrix_a_text.grid(row=5, column=0, padx=10, pady=5) + +# Generated Matrix B +matrix_b_text = tk.Text(root, height=10, width=25, state=tk.DISABLED) +matrix_b_text.grid(row=5, column=1, padx=10, pady=5) + +root.mainloop()