Presentation on theme: " As of the Fall of 2010, the ME department has over 700 total processor cores running the Linux OS. The larger processor and memory based systems tend."— Presentation transcript:
As of the Fall of 2010, the ME department has over 700 total processor cores running the Linux OS. The larger processor and memory based systems tend to use Linux rather than windows. In the ‘bang for the buck’ arena, servers that do not require terminals are far more economical for computational needs. A 24 core/48gb Linux server costs about the same as three dual core windows desktops. ECN provides licenses for certain advanced software and compilers only on the Linux environment. Linux offers a true multi-user OS. You can start jobs and let them run for months – literally. We have machines that have been up for over 300 days straight without a reboot or power cycle.
Differences: Linux is a multi-user system with a multi-user kernel Windows is a single user system with a single user kernel Commonalities: Its all just a framework to do something Many applications are cross-platform – the OS merely provides the environment to run
Advantages????? Linux: Its free and its widely available Its core is suitable for servers, workstations and appliance applications Linux can be run as a larger petabyte capacity system or configured to run off a 1.44mb floppy disk with no HD locally. Windows: Very common, pervasive OS. Its pretty much what most computers run. Very large assortment of software available
Disadvantages????? Linux: Its complex. Simply put – the more capable you are, the more complex it becomes. Many features are command line driven. Windows: At its core – its really a single user operating system. (Fast user switching does not fix this) Most features are GUI driven.
Linux is a version of UNIX, much like BSD is a version of UNIX. The defining characteristic of Linux is its kernel. The Linux kernel is used in different flavors (versions) of Linux such as Fedora, Red Hat, SUSE, Debian, Ubuntu etc. OpenBSD, FreeBSD, MacOS do not use the Linux kernel and therefore are not Linux. One of the defining factors is the kernel (hardware is the other). The kernel is the ‘core’ or ‘guts’ of the operating system. It provides the gateway between the software and the hardware. Common ‘flavors’ share the same kernel and in general, can share applications without recompiling (may require LOTS of work with library locations though!). Mac uses a BSD based kernel. Mac also uses the Aqua display manager rather than the traditional X display manager common to other UNIX variants. What this means is MAC is a UNIX OS but it is not Linux and compiled apps for Linux likely will not run on MacOS. Solaris is another BSD variant but also requires Sparc hardware. (non- PC). There is a large collection of UNIX variants on non-pc hardware (IRIX, AIX, Tru64, Solaris, HP-UX, VMS, VAX etc)
Relationship of disk space/home directory to machine itself. CPU’s (processors) are tied to machine, jobs run on CPU’s so jobs are tied to machines. You login to a machine to run a job on a machine Disk Space transcends the machine itself. Files reside on disks and disk space is NOT tied to a machine so that single file can be available on multiple machines at the same time. This is accomplished using NFS (network file system) server app. Machine 1 CPU(s) Disk Space Machine 2 CPU(s) Disk Space Machine 3 CPU(s)
The UNIX/Linux file systems form a ‘Tree’ where disk space on one machine is available on all machines. Each File has an ‘address’ to find it. That address is its absolute UNIX path. homecamp coep project gadget robusta tribe a a a a b a a /home/camp/a /home/project/a /home/gadget/a /home/robusta/a /home/robusta/b /home/coep/a /home/tribe/a
Backups: ECN offers backup services for a fee ▪ Backups are done each night and restores are available through the ECN webpage. Some machines are backed up each night some are not. For specifics – ask your advisor or the e- shop. Most research machines are NOT backed up. Most departmental file servers are. ▪ Costs are License ($200 or $600) + $2/gb of capacity. For instance, coep server with a 750gb hd costs $600 for the license and $1500 for data, total cost $2100
CLUSTER MACHINESNON-CLUSTER MACHINES robusta robusta01 robusta03 robusta02 robusta04 robusta06 robusta05 What’s the difference??? - mostly just how they are used!!! tribe coep navy seanm pande sharif cater robusta07apfel
CLUSTERS Tend to have a common home directory on the ‘head node’ that each ‘node’ points to. Tends to have dedicated network segments *may* have specialized high speed interconnect (robusta, steele, coates) NON-CLUSTER Each machine has its own home directory or points to the departmental file server Tends to share their network segment with other machines Parallel jobs *are* run on non-cluster machines There is a LOT of overlap in usage patterns of machines
There are a few main ways to ‘connect’ to a Linux/UNIX machine Console login (sitting in front of the machine) Remote text only connection (SSH) Remote Graphical connection (X – always tunneled through SSL/SSH) Connecting to windows machine via Linux? Use the ‘rdesktop’ command from the Linux command line ▪ IE: rdesktop 22.214.171.124
Text only (SSH) – command line This is the ‘telnet’ type interface but encrypted via SSL. In its base mode – its text only which makes it *very* quick over fast connections and quite usable even over dialup connections. SSH provides the base to ‘tunnel’ graphical applications when paired with the proper client. SFTP is a secure FTP client variation based on the SSH protocol Applications include: Cygwin, SecureCRT, SSH Secure Shell and SecureFX for Windows. Unix systems usually have the ssh command built in as well.
Graphical – remote connections Linux is multi-user by default so a single Linux machine can support many simultaneous graphical sessions Remote connections REQUIRE the connection to be ‘tunneled’ via SSH. From cygwin on a PC, this can be accomplished using the ‘ssh –X’ command. Graphical connections can be VERY network intensive so beware of attempting complex rendering over slow network links. The graphical ‘command line’ window is known as an xterm (X terminal). Requires a local ‘X’ server to be running. For PC’s, an application such as Cygwin or Xceed is required. The ‘server’ application needs to be on the machine you are sitting at. The ‘client’ application is on the remote system.
The shell is the command interpreter. Unlike windows, Linux offers many different options with different feature sets. tcsh, csh (C shell and C shell variants) sh, ash, dash, bash, zsh (Bourne Shell and Variants) ksh (Korn shell) Plus a host of restricted shells, customized feature set shells and other ‘exotic’ shells.
By default, users start with the tcsh in ME (this is because this is the shell I use and its easier on me to get people started) Customization files for tcsh .login,.cshrc,.tcshrc,.logout Customization files for the bash shell .profile,.bash_profile,.bash_login,.bash_logout,.bashrc Customization files for the zsh shell .zprofile,.zlogin,.zshrc Customization files for the ksh shell .profile Customization files for the sh shell .profile
Customizations All user controlled customization files should be in the root of your home directory Can set the path variable which defines where to search for programs/applications Can set aliasing for commonly used programs to simpler commands Can configuring your command prompt with history or different formats Can execute commands on login or logout
The Linux shell has a set of predefined variables. These variables are known as your environment variables. These can be setup on the command line or in one of the customization files for the shell. If you custom build software, you may need to modify your environment If you use certain software packages, you may need to setup variables in your environment You may want to use this for customizing your ‘experience’ while working in Linux
Linux has three levels of permissions, the user level, group level and world level. Each level offers three options – read (y/n), write (y/n) and execute (y/n) It is legal and permissible to be allowed to write to a file but not read it. For directories, traversal rights are controlled by the execute bit Permission set using the chmod command. ▪ chmod g+r ▪ chmod –R 775 Permission blocks WorldUserGroupFlag d rwx r-x r-x
Linux shells are applications themselves. They can be ‘stacked’ such that you may use tcsh as the default but can invoke a bash shell as needed on top of the tcsh login shell. Scripts work in this regard. They create their own non-login shells in which to run. You can invoke scripts within your current shell or to run in their own environment space.
The basics ▪ (books and classes are taught on this subject) A shell script, to run it its own environment space must have a ‘sha-bang’ line as the first characters/line of the file. ▪ #!/bin/sh ▪ #!/usr/local/bin/tcsh A Shell script must be ‘executable’ - IE the ‘x’ bit set Each shell has varying capabilities of loops, variables, math functionality and external communications available. The ‘sh’ shell is the most common with the ‘ksh’ being the most common for programming. Python, Perl, PHP etc are interpreters, not shells. They can do scripting and ‘application’ functions but lack the user level interactivity that normally defines a ‘shell’
A simple listing of the fundamental commands that are useful to know ssh cdcatpwd chmodmanvigrep rmrmdir picotail head ls sftplogoutmoreless nohuppskilltopuptimewho
Examples: Listing all files in the current directory, with permission bits and hidden files ls -al Showing all of the processes on a machine for the user loganm ps –ef | grep loganm killing a task (PID from above command) kill -9 IE: kill -9 23999 Removing a directory and all files/directories it contains rm –rf IE: rm –rf test_program1 Making a script executable chmod u+x IE: chmod u+x testprog.sh starting a process independent of the terminal session nohup IE: nohup important_job.ksh killing a task (PID from above command) kill -9 IE: kill -9 23999 Finding a file recursively find. -name "mysql.h" -print
The shell environment also lends itself to interpreted scripts. These are languages which offer much greater flexibility and capability over simple shell scripts but lack the complexity of compiled languages. Common languages supported include (but not limited to) PERLPythonPHPRubyJava
We also support the compiled languages. These are the most versatile and the most complicated to use. There is full support for mathematical libraries (BLAS, LAPACK), socket programming, database connectivity etc. These use compilers to create the executable and we support the following suites. GNU SuiteIntel SuitePortland Group
There are several common locations for software to be found. Many are in the default ‘path’ of the machine. /usr/bin /bin /usr/local/bin /usr/opt/bin Packages are installed in either the Red Hat default (core Linux applications) or in /package (nfs shared disk)
One of the great features of Linux is the ‘sandbox’ capability of applications. Users can build and run fully functional versions of applications within their own user space. Each application is dependent only on itself. If you build your own packages, be sure to set the install directory (prefix) with the configure script. The defaults will *never* work. The basic process to build and application is below Install prerequisite software Run the ‘configure’ script with proper local install options Run the ‘make’ command Run the ‘make install’ command to install the software
The X display server’s built in display manager is very basic. To enhance usability, several new ‘Graphical Display Managers’ have been developed. KDE Gnome CDE Many others These GDM’s offer user level customizations with significant options. I can go through some examples during the Q&A portion for adding applications and managing menus for Gnome.
Linux offers several means for utilizing multiple CPU cores to accomplish your tasks MPI based code Parallel aware applications Threads It should be noted – the efficiency of multiple cpu usage is related to your code/job. Some jobs parallelize easily, others do not. It is up to you, the designer of the job, to determine what is the best way to run your job Parallel computing is not free. Parallel aware applications require more licenses for parallel jobs. The speed increase is not linear and in some cases, can be speed decreases.
MPI (message passing interface) is the most common way to do parallel computing with C and Fortran based codes. Can be used on the same machine, across Ethernet with multiple machines or through Infiniband To use MPI – you must compile your code with the ‘wrapped’ MPI aware compiler. All of the major compilers have ‘wrapped’ versions available. MPICH2 does require configuration of your user environment and the use of a ‘daemon’ application on each node. (MPD and MPD rings)
Abaqus and Fluent both support native and easy parallel computing support Abaqus offers two means for multi-cpu usage ▪ cpus=n command line option ▪ mpi implementation using HP-MPI (not implemented on ECN) Fluent offers a parallel solver (see the Fluent docs for details) Be aware – parallel processing requires more licenses from a limited pool!
Matlab is fundamentally a uni-processor application. Recently – Matlab added some rudimentary parallel computing functionality by using the parallel computing toolbox and ‘worker’ instances of Matlab Parallel ‘for loops’ Batch command parallel execution Distributed data for very large arrays Read the toolbox documentation!
Threads - think of the fork command but with communication. Different languages provide different options Named pipes – much like threads but at a lower level. Again, implementation is VERY language dependent. Socket level programming – fundamentally, this is an implementation strategy using standard network libraries. MPI is built on this framework. SCSI backplane or fabric backplane – this is the level Infiniband and Myrinet are implemented on. There can be some advantages to gain in latency and bandwidth. This is also the structure GPU programming falls. (CUDA chips)
We have over 700 processor cores running in ME 242A and over 750 cores in servers in ME department as a whole. On top of this – we have and support another 30+ Linux workstations, many of which are multi-core machines. Publicly Available Departmental Linux Machines ME – (5) Dual core workstations (steam, wind, water, air, cog), (1) 24-core server (horsepower) Herrick – (2) single core workstations (stave, manon), (4) 8-core servers (herrick, cohen, bernhard, fontaine) ECN – (1) 16-core server (riptide) Research Groups (servers only) Sadeghi – 164 cores in 12 servers (coep, tribe, pande, sharif, cater, apfel, navy, seanm, cat, schaeffler, ashtekar, evansville) Frankel – 124 cores in 17 nodes – Supremo + Robusta clusters + coffeeexpress. (robusta has Infiniband) Wassgren – 76 cores in 14 nodes - Camp cluster Key – 72 cores in 9 servers (Ubuntu non-networked cluster - Zucrow) Shin – 68 cores in 6 servers (femtosim, picosim, lampsim, mansim, microsim, ultrasim) Lucht – 56 cores in 7 servers (densitymatrix – densitymatrix7) Ramani – 48 cores in 2 servers (shape, kernel) Xu – 48 cores in 2 servers (bncws1, bncws2) Mongea – 24 cores in 1 server (tfm) Siegmund – 16 cores in 2 servers (fracture, asterix) Ruan – 16 cores in 4 servers – nanoenergy cluster Martini – 8 cores in 1 server (vader) Subbarayan – 8 cores in 1 server (magenta) Son – 4 cores in 1 server (gadget) Fisher – 4 cores in server (edwards) Li – 2 cores in 1 server (noise)
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