DAS_2024_1/kadyrov_aydar_lab_5/matrix_multiplication/parallel.py
2024-10-27 02:13:51 +04:00

22 lines
649 B
Python

from concurrent.futures import ThreadPoolExecutor
def matrix_multiply_parallel(A, B, num_threads=1):
n = len(A)
result = [[0] * n for _ in range(n)]
def worker(start, end):
for i in range(start, end):
for j in range(n):
result[i][j] = sum(A[i][k] * B[k][j] for k in range(n))
chunk_size = n // num_threads
with ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [
executor.submit(worker, i * chunk_size, (i + 1) * chunk_size)
for i in range(num_threads)
]
for future in futures:
future.result()
return result