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tutorial:torque [2017/06/08 22:46]
afo214
tutorial:torque [2021/04/14 15:22]
mjm519 [Submitting a Small or Large Memory Job]
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 </code> </code>
 If you do not want to write the submission script you can do it just by calling If you do not want to write the submission script you can do it just by calling
-<code>qsub -N JobName -q batch -l nodes=1:pnn=2  myscript.sh</code>+<code>qsub -N JobName -q batch -l nodes=1:ppn=2  myscript.sh</code>
 Now, we will run the code but we are setting the job parameters using ''-'' character (e.g. ''-N JobName'') Now, we will run the code but we are setting the job parameters using ''-'' character (e.g. ''-N JobName'')
  
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 ==== Submitting a Small or Large Memory Job ==== ==== Submitting a Small or Large Memory Job ====
  
-You can use the option ''-l mem=size,vmem=size'' to limit memory usage of your job.+You can use the option ''-l pmem=size,vmem=size'' to limit memory usage of your job.
  
 <code bash limited.sh> <code bash limited.sh>
-qsub -l mem=4gb,vmem=4gb test.pbs+qsub -l pmem=4gb,vmem=4gb test.pbs
 </code> </code>
  
 Sometimes your job needs more memory. You can choose a larger memory size with the same option: Sometimes your job needs more memory. You can choose a larger memory size with the same option:
  
-<code bash large.pbs>qsub  -l mem=20gb  test.pbs</code>+<code bash large.pbs>qsub  -l pmem=20gb  test.pbs</code>
  
 ==== Running MATLAB ==== ==== Running MATLAB ====
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 However, first you have to have a permission to use GPU (given by Prof. Takac) -- this is just formality to allow to certain users to use video driver on polyp30 However, first you have to have a permission to use GPU (given by Prof. Takac) -- this is just formality to allow to certain users to use video driver on polyp30
  
-If you are using TensorFlow, you can set the limit on amount of GPU memory using:+If you are using TensorFlow in Python, you can set the limit on amount of GPU memory using:
 <code>config_tf = tf.ConfigProto() <code>config_tf = tf.ConfigProto()
 config_tf.gpu_options.per_process_gpu_memory_fraction = p</code> config_tf.gpu_options.per_process_gpu_memory_fraction = p</code>
-in which <code>p<code> is the percent of GPU memory (a number between zero and one). +in which **//p//** is the percent of GPU memory (a number between zero and one). 
  
 ==== Running MPI and Parallel Jobs ==== ==== Running MPI and Parallel Jobs ====
tutorial/torque.txt · Last modified: 2024/02/28 13:12 by mjm519