update
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50f44061be
@ -0,0 +1,31 @@
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from multiprocessing import Process
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import os
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import time
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import numpy as np
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import guan
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def main(parameter_array, task_index):
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print ('Process id = %s' % (os.getpid()))
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result_array = []
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for parameter in parameter_array:
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result = parameter*2
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result_array.append(result)
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guan.write_one_dimensional_data(parameter_array, result_array, filename='task_index='+str(task_index))
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if __name__ == '__main__':
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cpus = 4
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parameter_array_all = np.arange(0, 17, 1)
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start_time = time.perf_counter()
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for task_index in range(cpus):
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parameter_array = guan.preprocess_for_parallel_calculations(parameter_array_all, cpus, task_index)
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p = Process(target=main, args=(parameter_array, task_index))
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p.start()
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p.join()
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end_time = time.perf_counter()
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print('运行时间=', (end_time-start_time), '\n')
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f = open('result.txt', 'w')
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for job_index in range(cpus):
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with open('task_index='+str(job_index)+'.txt', 'r') as f0:
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text = f0.read()
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f.write(text)
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f.close()
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@ -4,8 +4,7 @@ import time
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def run_proc(name): # 要执行的代码
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start_time = time.perf_counter()
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for i in range(300000000):
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x = 100000^1000000000000
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time.sleep(2)
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end_time = time.perf_counter()
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print ('Process id running on %s = %s' % (name, os.getpid()), '; running time = %s' % (end_time-start_time))
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@ -37,5 +36,4 @@ if __name__ == '__main__':
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p.start()
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p.join() # join()方法可以等待子进程结束后再继续往下运行
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end_time = time.perf_counter()
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print('CPU执行时间(s)=', (end_time-start_time))
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print('运行时间(s)=', (end_time-start_time))
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@ -1,6 +1,6 @@
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#!/bin/sh
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for job_index in 0 1 2 3 4 5 6
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for ((job_index=0; job_index<7; job_index++))
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do
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cp a.py a${job_index}.py
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@ -11,4 +11,4 @@ cp a.sh a${job_index}.sh
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sed -i "s/python a.py/python a${job_index}.py/" a${job_index}.sh
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qsub a${job_index}.sh
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done
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done
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