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antonov_dmitry_lab_5/benchmark.py
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antonov_dmitry_lab_5/benchmark.py
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import numpy as np
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import time
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import concurrent.futures
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def multiply_matrices(matrix_a, matrix_b):
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return np.dot(matrix_a, matrix_b)
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def multiply_matrices_parallel(matrix_a, matrix_b):
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with concurrent.futures.ThreadPoolExecutor() as executor:
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result = executor.submit(np.dot, matrix_a, matrix_b)
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return result.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):
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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)
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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, 700, 900, 1000, 1200, 1400, 1700, 2000]
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for size in sizes:
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sequential_time = benchmark_sequential(size)
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parallel_time = benchmark_parallel(size)
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print(f"Размер матрицы: {size}x{size}")
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print(f"Время обычное: {sequential_time} с")
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print(f"Время параллельное: {parallel_time} с")
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print(f"Ускорение: {sequential_time / parallel_time}\n")
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antonov_dmitry_lab_5/simple_app.py
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antonov_dmitry_lab_5/simple_app.py
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from flask import Flask, render_template, request
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import numpy as np
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import concurrent.futures
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app = Flask(__name__)
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def multiply_matrices(matrix_a, matrix_b):
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result = np.dot(matrix_a, matrix_b)
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return result
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def multiply_matrices_parallel(matrix_a, matrix_b):
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with concurrent.futures.ThreadPoolExecutor() as executor:
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result = executor.submit(np.dot, matrix_a, matrix_b)
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return result.result()
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/multiply', methods=['POST'])
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def multiply():
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n = int(request.form.get('matrix_a'))
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matrix_a = np.random.randint(10, size=(n, n))
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matrix_b = np.random.randint(10, size=(n, n))
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operation_type = request.form.get('operation_type')
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if operation_type == 'sequential':
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result = multiply_matrices(matrix_a, matrix_b)
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elif operation_type == 'parallel':
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result = multiply_matrices_parallel(matrix_a, matrix_b)
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else:
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return "Invalid operation type"
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return render_template('result.html', matrix_a=matrix_a, matrix_b=matrix_b, result=result)
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if __name__ == '__main__':
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app.run(debug=True)
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antonov_dmitry_lab_5/templates/index.html
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antonov_dmitry_lab_5/templates/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Matrix Multiplication</title>
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</head>
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<body>
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<h1>Matrix Multiplication</h1>
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<form action="/multiply" method="post">
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<label for="matrix_a">Matrix размер:</label>
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<input type="text" name="matrix_a" required><br>
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<label for="operation_type">Как умножить:</label>
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<select name="operation_type">
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<option value="sequential">Последовательно</option>
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<option value="parallel">Параллельно</option>
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</select><br>
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<button type="submit">Умножение матриц</button>
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</form>
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</body>
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</html>
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antonov_dmitry_lab_5/templates/result.html
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antonov_dmitry_lab_5/templates/result.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Matrix Multiplication Result</title>
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</head>
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<body>
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<h1>Результат</h1>
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<p>Matrix A:</p>
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<pre>{{ matrix_a }}</pre>
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<p>Matrix B:</p>
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<pre>{{ matrix_b }}</pre>
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<p>Result:</p>
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<pre>{{ result }}</pre>
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<a href="/">Назад</a>
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</body>
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</html>
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