From 6d1dacc265ee023329e95b34996df6b43dff6874 Mon Sep 17 00:00:00 2001 From: Matt Graham Date: Mon, 13 Feb 2017 14:39:43 +0000 Subject: [PATCH] Updating wget command and adding links. --- notes/running-jobs-on-the-compute-cluster.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/notes/running-jobs-on-the-compute-cluster.md b/notes/running-jobs-on-the-compute-cluster.md index df725ca..ba18e85 100644 --- a/notes/running-jobs-on-the-compute-cluster.md +++ b/notes/running-jobs-on-the-compute-cluster.md @@ -1,6 +1,6 @@ # Running jobs on the compute cluster -There is a compute cluster now available for submitting jobs to for your MLP assignments. Jobs on the cluster are scheduled using an open source variant of [Oracle Grid Engine](https://en.wikipedia.org/wiki/Oracle_Grid_Engine) which manages allocation of resources to jobs. +There is a [compute cluster](http://computing.help.inf.ed.ac.uk/msc-teaching-cluster) now available for submitting jobs to for your MLP assignments. Jobs on the cluster are scheduled using an open source variant of [Oracle Grid Engine](https://en.wikipedia.org/wiki/Oracle_Grid_Engine) which manages allocation of resources to jobs. ## Accessing the cluster @@ -87,19 +87,19 @@ The script writes all outputted files (model checkpoints, train and validation s The complete series of commands you would need to run in a DICE terminal to submit the example script as a job on the compute cluster are as follows: - 1. Log in to the head node by running + 1. Log in to the head node by running ``` ssh [username]@msccluster ``` - 2. Download the script file from Github to your cluster homespace + 2. Download the script file from Github to your cluster homespace ``` - wget + wget https://raw.githubusercontent.com/CSTR-Edinburgh/mlpractical/mlp2016-7/master/scripts/example-tf-mnist-train-job.py ``` - 3. Create an `experiments` directory + 3. Create an `experiments` directory ``` mkdir experiments ``` - 4. Submit the job to the cluster + 4. Submit the job to the cluster ``` qsub -v MLP_DATA_DIR='/disk/scratch/mlp/data',OUTPUT_DIR='$HOME/experiments' example-tf-mnist-train-job.py ```