83 lines
2.4 KiB
Python
83 lines
2.4 KiB
Python
import multiprocessing
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import numpy as np
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import time
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def multiply_matrices(matrix_a, matrix_b):
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if len(matrix_a[0]) != len(matrix_b):
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raise ValueError("матрицы имеют разную длину")
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result = [[0 for _ in range(len(matrix_b[0]))] for _ in range(len(matrix_a))]
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for i in range(len(matrix_a)):
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for j in range(len(matrix_b[0])):
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for k in range(len(matrix_b)):
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result[i][j] += matrix_a[i][k] * matrix_b[k][j]
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return result
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def multiply_row(args):
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matrix_a, matrix_b, i = args
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row_result = [0 for _ in range(len(matrix_b[0]))]
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for j in range(len(matrix_b[0])):
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for k in range(len(matrix_b)):
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row_result[j] += matrix_a[i][k] * matrix_b[k][j]
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return row_result, i
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def multiply_matrices_parallel(matrix_a, matrix_b, threads):
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if len(matrix_a[0]) != len(matrix_b):
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raise ValueError("матрицы имеют разную длину")
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result = [[0 for _ in range(len(matrix_b[0]))] for _ in range(len(matrix_a))]
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with multiprocessing.Pool(processes=threads) as pool:
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args_list = [(matrix_a, matrix_b, i) for i in range(len(matrix_a))]
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rows_results = pool.map(multiply_row, args_list)
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for row_result, row_index in rows_results:
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result[row_index] = row_result
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return result
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def benchmark_sequential(size):
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matrix_a = np.random.rand(size, size)
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matrix_b = np.random.rand(size, size)
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start_time = time.time()
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multiply_matrices(matrix_a, matrix_b)
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end_time = time.time()
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return end_time - start_time
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def benchmark_parallel(size, num_threads):
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matrix_a = np.random.rand(size, size)
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matrix_b = np.random.rand(size, size)
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start_time = time.time()
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multiply_matrices_parallel(matrix_a, matrix_b, num_threads)
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end_time = time.time()
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return end_time - start_time
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if __name__ == "__main__":
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sizes = [100, 300, 500]
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threads = [2, 16, 32]
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for size in sizes:
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sequential_time = benchmark_sequential(size)
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print(f"Время обычное: {sequential_time} с")
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print(f"Размер матрицы: {size}x{size}")
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for thread in threads:
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for size in sizes:
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parallel_time = benchmark_parallel(size, thread)
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print(f"Размер матрицы: {size}x{size}")
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print(f"Время параллельное: {parallel_time} с")
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print(f"Потоков: {thread}")
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