2016-07-15 64 views
0

我建立了一个IPython的平行ipcluster使用的Sun Grid Engine和东西似乎很好地工作:ipcluster上的Sun Grid Engine仅位列0

ipcluster start -n 100 --profile=sge

2016-07-15 14:47:09.749 [IPClusterStart] Starting ipcluster with [daemon=False] 
2016-07-15 14:47:09.751 [IPClusterStart] Creating pid file: /home/USERNAME/.ipython/profile_sge/pid/ipcluster.pid 
2016-07-15 14:47:09.751 [IPClusterStart] Starting Controller with SGEControllerLauncher 
2016-07-15 14:47:09.789 [IPClusterStart] Job submitted with job id: u'6354583' 
2016-07-15 14:47:10.790 [IPClusterStart] Starting 100 Engines with SGEEngineSetLauncher 
2016-07-15 14:47:10.826 [IPClusterStart] Job submitted with job id: u'6354584' 
2016-07-15 14:47:40.856 [IPClusterStart] Engines appear to have started successfully 

然后我从笔记本连接使用

rc = ipp.Client(profile='sge')

但是当我使用并行魔法

​​

我所有的过程只rank 0返回:

[stdout:0] I am #0 of 1 and run on compute-8-13.local 
[stdout:1] I am #0 of 1 and run on compute-8-13.local 
[stdout:2] I am #0 of 1 and run on compute-3-3.local 
[stdout:3] I am #0 of 1 and run on compute-3-3.local 
[stdout:4] I am #0 of 1 and run on compute-3-3.local 
... 

这里是我的安装脚本:


  • ipcluster_config.py

    c.IPClusterEngines.engine_launcher_class = 'SGEEngineSetLauncher' 
    c.IPClusterStart.controller_launcher_class = 'SGEControllerLauncher' 
    c.SlurmEngineSetLauncher.batch_template_file = '/home/USERNAME/.ipython/profile_sge/sge.engine.template' 
    c.SlurmControllerLauncher.batch_template_file = '/home/USERNAME/.ipython/profile_sge/sge.controller.template' 
    
  • ipcontroller_config.py

    c.HubFactory.ip = '*' 
    
  • sge.controller.template

    # /bin/sh 
    #$ -S /bin/sh 
    #$ -pe orte 1 
    #$ -q sThC.q 
    #$ -cwd 
    #$ -N ipyparallel_controller 
    #$ -o ipyparallel_controller.log 
    #$ -e ipyparallel_controller.err 
    module load gcc/5.3/openmpi 
    source activate parallel 
    ipcontroller --profile-dir={profile_dir} 
    
  • sge.engine.template

    # /bin/sh 
    #$ -S /bin/sh 
    #$ -pe orte {n} 
    #$ -q sThC.q 
    #$ -cwd 
    #$ -N ipyparallel_engines 
    #$ -o ipyparallel_engines.log 
    #$ -e ipyparallel_engines.err 
    
    module load gcc/5.3/openmpi 
    source activate parallel 
    mpiexec -n {n} ipengine --profile-dir={profile_dir} --timeout=30 
    

回答

0

实测值的溶液/错误自己:

ipcluster_config.py,我忘了重新命名的Slurm某些情况下 - >SGE,所以它应该是

c.IPClusterEngines.engine_launcher_class = 'SGEEngineSetLauncher' 
c.IPClusterStart.controller_launcher_class = 'SGEControllerLauncher' 
c.SGEEngineSetLauncher.batch_template_file = '/home/USERNAME/.ipython/profile_sge/sge.engine.template' 
c.SGEControllerLauncher.batch_template_file = '/home/USERNAME/.ipython/profile_sge/sge.controller.template' 

这导致ipcluster使用某种默认SGE模板,提交一个工作的100个单独的作业,而不是有100个进程。

现在,我得到如期望的那样:

[stdout:0] I am #5 of 100 and run on compute-5-17.local 
[stdout:1] I am #9 of 100 and run on compute-5-17.local 
[stdout:2] I am #1 of 100 and run on compute-5-17.local 
[stdout:3] I am #7 of 100 and run on compute-5-17.local 
[stdout:4] I am #2 of 100 and run on compute-5-17.local 
... 
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