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Last active February 1, 2020 17:39
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Demonstrate nice threads in Python
import logging
import multiprocessing
import os
import random
import threading
import time
from typing import Optional
LOG_FMT = ('%(asctime)s %(levelname)s [%(name)s] '
'<%(filename)s:%(funcName)s:%(lineno)d> '
'{%(process)s-%(thread)s} '
'%(message)s')
logging.basicConfig(level=logging.INFO, format=LOG_FMT)
def pin_process_to_cpus(
pid: Optional[int] = None, n_cpus: int = 1) -> None:
if pid is None:
pid = multiprocessing.current_process().pid
# assert n_cpus > 0, f'Invalid n_cpus {n_cpus}'
n_available_cpus = multiprocessing.cpu_count()
cpus = sorted(random.sample(
range(n_available_cpus), min(n_cpus, n_available_cpus)))
cpus_str = ','.join(str(cpu) for cpu in cpus)
logging.warning('Pinning %s to cpus %s', pid, cpus_str)
os.system('taskset --pid --cpu-list {} {}'.format(cpus_str, pid))
def fib(n):
if n < 2:
return 1
return fib(n - 1) + fib(n - 2)
def loop(name, nice):
logging.info('Starting %s [%s]', name, nice)
if nice:
os.nice(nice)
t0 = time.time()
for _ in range(N_ITER):
fib(FIB_N)
logging.info('Done %s [%s] in %.2f', name, nice, time.time() - t0)
N_CPUS = 1
FIB_N = 26
N_ITER = 100
N_THREADS = 4
pin_process_to_cpus(n_cpus=N_CPUS)
def parallel():
ts = []
for i in range(N_THREADS):
nice = i * 5
t = threading.Thread(target=loop, args=('t{}'.format(i), nice))
ts.append(t)
for t in ts:
t.start()
def seq():
for i in range(N_THREADS):
loop(f'seq-{i}', None)
# seq()
parallel()
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