带有mpi4py的mpiexec无法在启动树莓派上执行

时间:2019-06-09 18:04:53

标签: raspberry-pi cluster-computing mpi4py mpiexec

我有一个python程序,可以执行我用mpi4py设置的素数,以便可以在我的树莓派群集上运行,并且通常可以从任何目录运行该命令,但是当我将其放在rc.local中时,不起作用。我可以从命令行正常运行rc.local文件,然后按预期方式启动。

我通过ssh连接到我的Raspberry pi,但目前不支持它,否则我将连接一个监视器,以检查启动时的错误消息。我在家庭wifi上设置了端口转发功能,并更改了ssh的默认端口以使其更加安全。

rc.local文件中的

命令:

mpiexec -n 16 -f /home/pi/machinefile python3 /home/pi/clusterprime.py

计算素数的代码:

from mpi4py import MPI

def innit():
        #setting gloabl variables:
        global comm
        global rank
        global size
        global name

        #setting up mpi4py:
        comm = MPI.COMM_WORLD
        rank = comm.rank
        size = comm.size
        name = comm.name

        #checking if thread is master or slave:
        if rank == 0:
                mastersetup()
        main()

def master(thread):
        global n
        global nLock
        global cLock
        global primes
        global c

        print("Started thread: {}".format(thread))
        t = time.time()
        while True:
                with nLock:
                        n+=2
                comm.send(n, dest=thread)
                num, p = comm.recv(source=thread)
                if p:
                        times.append(time.time()-t)
                        t = time.time()
                        print(num)
                        primes.append(num)
                        with cLock:
                                c+=1

def mastersetup():
        #setting global module variables:
        global time
        #master setup:
        import pickle
        import threading
        import time

        #setting global pickle variables:
        global prime
        global n
        global primes

        primes = pickle.load(open("/home/pi/primes/primes.p", "rb"))
        n = primes[len(primes)-1]

        #setting global threading variables:
        global nLock
        global cLock
        global c
        global times

        nLock = threading.Lock()
        cLock = threading.Lock()
        threads = []
        c = 0
        times = []
        t = 0
        for x in range(1,size):
                threads.append(threading.Thread(target=master, args=[x]))
        for x in threads:
                x.daemon = True
               x.start()

        while True:
                if c >= size*5:
                        t = 0
                        with cLock:
                                c = 0
                        pickle.dump(primes,open("/home/pi/primes/primes.p", "wb"))
                        for x in times:
                                t+=x
                        t = t/len(times)/size
                        print(t)
                        t = []

                while len(primes) >= 200:
                        primes.remove(primes[0])

def main():

        while True:
                n = comm.recv(source=0)
                p = isprime(n)
                comm.send((n, p), dest=0)

def isprime(num):
        for n in range(3, round(num/2),2):
                if num%n == 0:
                        return(False)

        return(True)

if __name__ == "__main__":
        innit()

0 个答案:

没有答案
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