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DmitriyAntonov 2023-12-05 10:35:19 +04:00
parent 7cd2022236
commit 325d6f9bbb
1 changed files with 12 additions and 12 deletions
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24
antonov_dmitry_lab_6/parallel_determ.py
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@ -10,11 +10,11 @@ def submatrix(matrix, row, col):
def determinant(matrix):
size = len(matrix)
# Base case: determinant of a 1x1 matrix is the only element in it
# Простой случай: детерминант матрицы 1x1
if size == 1:
return matrix[0][0]
# Base case: determinant of a 2x2 matrix
# Простой случай: детерминант матрицы 2x2
if size == 2:
return matrix[0][0] * matrix[1][1] - matrix[0][1] * matrix[1][0]
@ -36,8 +36,8 @@ def sequential_determinant_calculation(matrix_size, lower_limit, upper_limit):
result = determinant(random_matrix)
end_time = time.time()
print(f"Sequential determinant: {result}")
print(f"Sequential time: {end_time - start_time} seconds")
print(f"Последовательный детерминант: {result}")
print(f"Последовательное время: {end_time - start_time} секунд")
def parallel_determinant_calculation(matrix_size, lower_limit, upper_limit, num_processes):
@ -52,19 +52,19 @@ def parallel_determinant_calculation(matrix_size, lower_limit, upper_limit, num_
result = sum(((-1) ** col) * random_matrix[0][col] * det for col, det in enumerate(determinants))
end_time = time.time()
print(f"Parallel determinant: {result}")
print(f"Parallel time: {end_time - start_time} seconds")
print(f"Параллельный детерминант: {result}")
print(f"Параллельное время: {end_time - start_time} секунд")
if __name__ == "__main__":
matrix_size = 10 # You can change this to the desired size of the matrix
lower_limit = 10 # You can change this to the lower limit of the random numbers
upper_limit = 1000 # You can change this to the upper limit of the random numbers
num_processes = 8 # You can change this to the desired number of parallel processes
matrix_size = 10 # размер матрицы
lower_limit = 10 # числа в матрице от
upper_limit = 1000 # и до
num_processes = 8 # число потоков
# Sequential calculation
# последовательное вычисление
sequential_determinant_calculation(matrix_size, lower_limit, upper_limit)
# Parallel calculation
# параллельное вычисление
parallel_determinant_calculation(matrix_size, lower_limit, upper_limit, num_processes)