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python分散式計算框架PP(Parallel Python)叢集模式試用

c:\Python27\python.exe test_pp_official.py Usage: python sum_primes.py [ncpus]     [ncpus] - the number of workers to run in parallel,     if omitted it will be set to the number of processors in the system Starting pp with 4 workers Sum of primes below 100 is 1060 2016-08-28 19:07:26.579000 Sum of primes below 500000 is 9914236195 2016-08-28 19:07:33.032000 Sum of primes below 500100 is 9917236483 2016-08-28 19:07:33.035000 Sum of primes below 500200 is 9922237979 2016-08-28 19:07:33.296000 Sum of primes below 500300 is 9926740220 2016-08-28 19:07:33.552000 Sum of primes below 500400 is 9930743046 2016-08-28 19:07:33.821000 Sum of primes below 500500 is 9934746636 2016-08-28 19:07:34.061000 Sum of primes below 500600 is 9938250425 2016-08-28 19:07:37.199000 Sum of primes below 500700 is 9941254397 2016-08-28 19:07:37.202000 Sum of primes below 500000 is 9914236195 2016-08-28 19:07:41.640000 Sum of primes below 500100 is 9917236483 2016-08-28 19:07:41.742000 Sum of primes below 500200 is 9922237979 2016-08-28 19:07:41.746000 Sum of primes below 500300 is 9926740220 2016-08-28 19:07:41.749000 Sum of primes below 500400 is 9930743046 2016-08-28 19:07:41.752000 Sum of primes below 500500 is 9934746636 2016-08-28 19:07:41.756000 Sum of primes below 500600 is 9938250425 2016-08-28 19:07:43.846000 Sum of primes below 500700 is 9941254397 Time elapsed:  17.2770001888 s Job execution statistics:  job count | % of all jobs | job time sum | time per job | job server          6 |         35.29 |      27.4460 |     4.574333 | 192.168.1.104:35000         11 |         64.71 |      60.2950 |     5.481364 | local Time elapsed since server creation 17.2849998474 0 active tasks, 4 cores