python 多線程只能算並發,因為它智能使用一個cpu核心
python 下 pp包支援多cpu並行計算
安裝
pip install pp
使用
#-*- coding: UTF-8 -*-import math, sys, timeimport ppdef IsPrime(n): """返回n是否是素數""" if not isinstance(n, int): raise TypeError("argument passed to is_prime is not of 'int' type") if n < 2: return False if n == 2: return True max = int(math.ceil(math.sqrt(n))) i = 2 while i <= max: if n % i == 0: return False i += 1 return Truedef SumPrimes(n): for i in xrange(15): sum([x for x in xrange(2,n) if IsPrime(x)]) """計算從2-n之間的所有素數之和""" return sum([x for x in xrange(2,n) if IsPrime(x)])inputs = (100000, 100100, 100200, 100300, 100400, 100500, 100600, 100700)# start_time = time.time()# for input in inputs:# print SumPrimes(input)# print '單線程執行,總耗時', time.time() - start_time, 's'# # tuple of all parallel python servers to connect withppservers = ()#ppservers = ("10.0.0.1",)if len(sys.argv) > 1: ncpus = int(sys.argv[1]) # Creates jobserver with ncpus workers job_server = pp.Server(ncpus, ppservers=ppservers)else: # Creates jobserver with automatically detected number of workers job_server = pp.Server(ppservers=ppservers)print "pp 可以用的工作核心線程數", job_server.get_ncpus(), "workers"start_time = time.time()jobs = [(input, job_server.submit(SumPrimes,(input,), (IsPrime,), ("math",))) for input in inputs]#submit提交任務for input, job in jobs: print "Sum of primes below", input, "is", job()# job()擷取方法執行結果print "多線程下執行耗時: ", time.time() - start_time, "s"job_server.print_stats()#輸出執行資訊
執行結果
pp 可以用的工作核心線程數 4 workersSum of primes below 100000 is 454396537Sum of primes below 100100 is 454996777Sum of primes below 100200 is 455898156Sum of primes below 100300 is 456700218Sum of primes below 100400 is 457603451Sum of primes below 100500 is 458407033Sum of primes below 100600 is 459412387Sum of primes below 100700 is 460217613多線程下執行耗時: 15.4971420765 sJob execution statistics: job count | % of all jobs | job time sum | time per job | job server 8 | 100.00 | 60.9828 | 7.622844 | localTime elapsed since server creation 15.49722194670 active tasks, 4 cores
submit 函數定義
def submit(self, func, args=(), depfuncs=(), modules=(), callback=None, callbackargs=(), group='default', globals=None): """Submits function to the execution queue func - function to be executed 執行的方法 args - tuple with arguments of the 'func' 方法傳入的參數,使用元組 depfuncs - tuple with functions which might be called from 'func' 傳入自己寫的方法 ,元組 modules - tuple with module names to import 傳入 模組 callback - callback function which will be called with argument list equal to callbackargs+(result,) as soon as calculation is done callbackargs - additional arguments for callback function group - job group, is used when wait(group) is called to wait for jobs in a given group to finish globals - dictionary from which all modules, functions and classes will be imported, for instance: globals=globals() """