Computing

User Tools

Site Tools

Trace:
clusterbasics

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
clusterbasics [2015/01/27 16:30]
mgstauff [Data & Home Directories] 		clusterbasics [2017/09/25 17:24] (current)
mgstauff [Introduction to The Cluster]
Line 1: Line 1:
 +** [[:start|Back To Main Page]] **
 +
 ====== Introduction to The Cluster ====== ====== Introduction to The Cluster ======
  
 The cluster is a collection of servers that work together to provide flexible, high-volume computing resources to all researchers at CfN. All these servers are physically housed together in a server room, and are dedicated to running computing jobs. This differs from the old CfN cluster, in which many of the servers were desktop machines in various labs. This meant that your desktop machine might slow down as the old cluster used it. We don't have that problem now with this new cluster. The cluster is a collection of servers that work together to provide flexible, high-volume computing resources to all researchers at CfN. All these servers are physically housed together in a server room, and are dedicated to running computing jobs. This differs from the old CfN cluster, in which many of the servers were desktop machines in various labs. This meant that your desktop machine might slow down as the old cluster used it. We don't have that problem now with this new cluster.
  
-The cluster has a single login server, called the **front end** or **head node**. To use the cluster you login to the front end (chead.uphs.upenn.edu in our case) using your CfN [[accounts_and_vpn|account]]. You then use a **job scheduler** [[using_ogs_sge|(OGS/SGE)]] to either:+The cluster has a single login server, called the **front end** or **head node**. To use the cluster you login to the front end (chead.uphs.upenn.edu in our case) using your CfN [[accounts_and_vpn|account]]. You then use a **job scheduler** [[using_ogs_sge|(SGE)]] to either:
  
   * a) ask for an **interactive login** session to run something like the Matlab GUI, or use a terminal interactively - i.e. to type commands and run things that way.   * a) ask for an **interactive login** session to run something like the Matlab GUI, or use a terminal interactively - i.e. to type commands and run things that way.
Line 12: Line 14:
 In either case, the job scheduler takes care of finding a compute node to do the actual work of running your batch job or interactive session (both are called 'jobs' by the scheduler, actually). In either case, the job scheduler takes care of finding a compute node to do the actual work of running your batch job or interactive session (both are called 'jobs' by the scheduler, actually).
  
-The cluster is running CentOS 6.3 with Rocks 6.1. This is the software that manages the collection of front and compute nodes, i.e. the cluster - Rocks is //not// the job scheduler. The jobs scheduler is OGS/SGE.+The cluster is running CentOS 6.9 (Linux operating system version) with Rocks 6.2 (Cluster management system). This is the software that manages the collection of front and compute nodes, i.e. the cluster - Rocks is //not// the job scheduler. The jobs scheduler is SGE (Actually SoGE, Son of Grid Engine, see below). 
 + 
 +===== General Cluster Diagram ===== 
 +{{::workshop-cluster2.png?nolink&792|}} 
  
 ===== The Queue - running multiple jobs ===== ===== The Queue - running multiple jobs =====
  
 The great thing about the cluster is that you can submit a lot of jobs at once (thousands, even), and walk away while they all run. By default, up to 32 of them will run at once if there's enough space on the cluster. The rest will stay in the job **queue**, a list of all the jobs submitted by all the users. When one of your jobs finishes, the scheduler will search the queue for any jobs of yours that are waiting, and start them up if found. The great thing about the cluster is that you can submit a lot of jobs at once (thousands, even), and walk away while they all run. By default, up to 32 of them will run at once if there's enough space on the cluster. The rest will stay in the job **queue**, a list of all the jobs submitted by all the users. When one of your jobs finishes, the scheduler will search the queue for any jobs of yours that are waiting, and start them up if found.
 +
 +**NOTE** the 32-job limit is actually a 32-//slot// limit. If you're multi-threading your jobs, you'll be able to run fewer of them at once. See the discussion further on in this wiki for details.
  
 If the cluster is busy, the scheduler may run fewer than 32 of your jobs at once, making sure every user gets their queued jobs run in turn. If the cluster is busy, the scheduler may run fewer than 32 of your jobs at once, making sure every user gets their queued jobs run in turn.
Line 23: Line 31:
 ===== Don't (generally) run programs on the front end itself ===== ===== Don't (generally) run programs on the front end itself =====
  
-Note that //generally// no jobs or apps should be run on the front end directly. Always use the job scheduler to submit your jobs (see below). +Note that //generally// no jobs or apps should be run on the front end (i.e. chead) directly. Always use the job scheduler to submit your jobs (see below). 
  
-**EXCEPTIONS**: if you're running something quick like using fslview to look at an image, then it's ok to use the front end instead of an interactive job. This actually makes a bit more efficient use of the compute nodes since you won't be tying up a qlogin session when you're not really use much computational power. Just don't forget to exit your app when you're done. The important thing is not to run computational jobs on the front end, like using Matlab to run an analysis on some data.+**EXCEPTIONS**
  
-**TERMINATION**: __Applications/jobs/processes that use more than 5GB RAM or 5 minutes of CPU time on the front end will be unceremoniously terminated__. You will see a message like ''CPU time limit exceeded''.This means five minutes of the CPU's time, not five minutes of real world time or "wall clock time". So viewing images or testing matlab scripts that don't do lots of computation will run for much longer than five minutes, pretty much indefinitely. If you really need to run something for longer on the front end, let me know - there's a way to increase the Memory and CPU limits case-by-case. But normally you should run things using ''qlogin'' or ''qsub'' - see the section below on the Job Scheduler (OGS/SGE). +__Low-intensity tasks and jobs__
-===== The Job Scheduler - OGS/SGE =====+
  
-The job scheduler is an open-source version of the standard Sun Grid Engine (which was recently made closed-source). Its name is Open Grid Scheduler - this is what ships with Rocks now.  Its website: http://gridscheduler.sourceforge.net/features.html. Generally we'll call this SGE, OGS or OGS/SGE. SGE was the term used for so long that it's hard to wean off of it.+If you're running something quick like using fslview or ITK-SNAP to look at an image and do simple manipulations, then it's ok to use the front end instead of an interactive job. This actually makes for more efficient use of the compute nodes since you won't be tying up a qlogin session when you're not really use much computational power. Just don't forget to exit your app when you're done. The important thing is not to run computationally intensive jobs on the front end, like using Matlab to run an analysis on some data. 
 + 
 +**Limits and TERMINATION** 
 + 
 +__Applications/jobs/processes that use more than 5GB RAM or 5 minutes of CPU time on the front end will be unceremoniously terminated__. You will see a message like ''CPU time limit exceeded''.This means five minutes of the CPU's time, not five minutes of real world time or "wall clock time". So viewing images or testing matlab scripts that don't do lots of computation will run for much longer than five minutes, pretty much indefinitely. If you really need to run something for longer on the front end, let me know - there's a way to increase the Memory and CPU limits case-by-case. But normally you should run things using ''qlogin'' or ''qsub'' - see the section below on the Job Scheduler (SGE). 
 +===== The Job Scheduler - SGE ===== 
 + 
 +The job scheduler is an open-source version of the standard Sun Grid Engine (which was recently made closed-source). Its name is Son of Grid Engine (SoGE, version 8.1.8). Its website: https://arc.liv.ac.uk/trac/SGE 
 +Generally we'll call this SGE.
    
-If you're familiar with the PICSL cluster,  OGS should be the same as SGE there, give or take just a little. The main commands for users are still qlogin, qsub, etc. We'll discuss these in detail later in the wiki ([[Using_OGS_SGE|Using OGS/SGE]]), but please first keep reading below.+If you're familiar with the PICSL cluster,  our version of SGE is very similar, give or take just a little. The main commands for users are still qlogin, qsub, etc. We'll discuss these in detail later in the wiki ([[Using_OGS_SGE|Using SGE]]), but please first keep reading below.
  
 ===== Applications / Programs ===== ===== Applications / Programs =====
Line 48: Line 63:
 ===== Data & Home Directories ===== ===== Data & Home Directories =====
  
-Data is in ''/data''. At this point there's:+**Data** is in ''/data''. At this point there's:
  
-  /data/jet - this is "/jet" from the old cluster+  /data/jet        - this is "/jet" from the old cluster
   /data/jag   /data/jag
-  /data/picsl - the /home data dirs from the old picsl cluster+  /data/picsl      - the /home data dirs from the old picsl cluster
   /data/tesla-data - data directories from tesla on the old picsl cluster   /data/tesla-data - data directories from tesla on the old picsl cluster
   /data/tesla-home - home dirs from tesla   /data/tesla-home - home dirs from tesla
Line 58: Line 73:
 New users get their data directories in ''/data/jag'' by default. As new storage devices get added, they will also appear under /data to help keep things organized. New users get their data directories in ''/data/jag'' by default. As new storage devices get added, they will also appear under /data to help keep things organized.
  
-Your ''/home'' directory  is for small files only. There are small quotas on ''/home'' dirs. Use your data directory for all data and large downloads.+**Your ''/home'' directory  is for small files only.** There are small quotas on ''/home'' dirs. Use your data directory for all data and large downloads. 
 + 
 +===Backup=== 
 + 
 +All data directories are backed up to tape on a quarterly basis and tapes are stored off-site. Users are responsible for maintaining their own copies of original data in the event of catastrophic failure of the system. 
 + 
 +Home directories are backed up nightly to another location in the data center, but not archived. Only the most recent contents of your home directory are backed up. 
 + 
 +===== Jobs Can Be Submitted from Nodes ===== 
 +All ''qlogin'' sessions must be started from chead. 
 + 
 +''qsub'' jobs can be submitted from chead, ''qlogin'' sessions or ''qsub'' jobs. 
 + 
 + If you get an error like this: 
 + 
 +  denied: host "compute-0-6.local" is no submit host 
 + 
 +tell the admins.
clusterbasics.1422376216.txt.gz · Last modified: 2015/01/27 16:30 by mgstauff

Page Tools

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki