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cs598-deep-learning-fall-2018's Introduction

cs598-deep-learning-fall-2018

This repo contains assignments of CS598 / IE534 Deep Learning @ UIUC (Fall 2018 semester).

Homework (Machine Problems)

Notes

Workflow for Bluewaters

  • Login

    ssh <bw-username>@bwbay.ncsa.illinois.edu
    
  • Mount the remote file system into your local machine

    Note: on Bluewaters, this approach works much better than scp since you don't have to manually scp everytime you update a file.

    At your local machine

    mkdir <local-path>
    sshfs -o ssh_command="ssh <bw-username>@bwbay.ncsa.illinois.edu ssh" h2ologin:<remote-path> <local-path>
    
  • Load interactive mode

    qsub -I -l gres=ccm -l nodes=1:ppn=16:xk -l walltime=02:00:00
    
  • Login to the compute node

    In compute node, you can directly run your program.

    module add ccm
    ccmlogin
    module load bwpy/2.0.0-pre1
    
  • Submit a job to BW using a .pbs file

    This can be done simply via login node. See below for a template.

    qsub run.pbs
    
  • Check job status

    qstat | grep <username>
    
  • Delete a job

    qdel <job number>.bw
    
  • Check your remaining training quota

    usage
    

Sample .pbs file

#!/bin/bash
#PBS -l nodes=1:ppn=16:xk
#PBS -N <job name>
#PBS -l walltime=40:00:00
#PBS -e $PBS_JOBNAME.$PBS_JOBID.err
#PBS -o $PBS_JOBNAME.$PBS_JOBID.out
#PBS -M <your email to receive messages about your job>
cd <path to the folder that your program locates>
. /opt/modules/default/init/bash
module load bwpy/2.0.0-pre1
module load cudatoolkit
aprun -n 1 -N 1 python3.6 <program name>

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