HowTo:abaqus
Contents
Abaqus
This is a short help file on using the Finite-Element Analysis (FEA) code "Abaqus" on our machines. This software is only licensed for academic researchers who work at a university that is already covered by an Abaqus license. The software is only made available to persons who belong to a specific Unix group. See details below.
What is Abaqus ?The ABAQUS suite of software for finite element analysis (FEA) has the ability to solve a wide variety of simulations. The ABAQUS suite consists of three core products - ABAQUS/Standard, ABAQUS/Explicit and ABAQUS/CAE.
VersionThe most recent version of Abaqus on our systems is Abaqus 6.11. Earlier versions are available but not supported. Location and AccessThis software is only available on the Linux systems. All versions of the Abaqus package are located in the directory /opt/abaqus. To use Abaqus on our machines, you have to be covered by an academic Abaqus license outside of the Centre for Advanced Computing, i.e. you have to be a "licensed University User of Abaqus". It is furthermore required that you read through the Abaqus Licensing Policy, and sign a statement. Note that our license does count as a license for Queen's University. We will confirm your statement, and you will added to a Unix group "abaqus", which enables you to run the software. Contact us if you are in doubt of whether you will be able to run Abaqus on our system. We also will submit your name and affiliation to Abaqus Inc. for a check if a prior university license exists. LicensingThe Fluent license is "seat limited" and "process limited". At present, there are the following licensing limits on our systems: 25 program runs plus 512 parallel processes i.e. at most 25 separate sessions can be run simultaneously (serial or parallel). Each of these sessions can run up to 4 processes for a total of 100. In addition, it is possible to run up to 512 "parallel only" processes in total. One scenario would be 24 users have 24 process parallel jobs running, and another one with 36, thus using up all available Fluent resources. |
Running FluentSetupSetup through the "usepackage" command: use abaqus will add the proper directories to the PATH and enable using the software. This needs to be done on the Linux workup node swlogin1. Interactive runsThe following instructions assume that you are a member of the Unix group "abaqus". They pertain only to the Standard and Explicit components of the software. The instructions in this section are only useful if you want to run an interactive test job of Abaqus on the workup node. If you want to run a production job, please refer to to instructions on how to start a Abaqus batch job (see next section). The Abaqus program uses a sophisticated syntax to set up a job run. Instructions to the program are written into an input file which is specified when the program is evoked. While an input file can be written "from scratch", it is also possible to use the ABAQUS/CAE component to generate such a file. Both techniques a outside the scope of this FAQ. You also can have a look at a simple example input file here . Documentation for Abaqus is extensive, and available both electronically and in print. There is no substitute to consulting it. Assuming that we have an input file called testsys.inp, we can initiate a run: use abaqus abaqus job=test001 inp=testsys.inp scratch=/scratch/hpcXXXX The job= option specified what the output files are to be called. They have various different "filename extensions" but share the name specified here (in our case test001). With the inp= option, we specify which input file to use. There are more options, such as cpus= and mp_mode= for running parallel jobs, but the two used above should get a simple serial job running. The above sequence starts the job in the background, i.e. after an initial setup phase, your terminal returns although the job is still running. If you want to avoid this, you can include the interactive option in the command line. The Abaqus software uses a directory in /tmp (which is local to the nodes on which the software is executing) as scratch space. This is the default setting and causes some Abaqus jobs to fail. It must therefore be changed to the standard scratch space /scratch/hpcXXXX (XXXX being the numbers in your username). This can be done by including the option scratch=/opt/hpcXXXX in your command line. Also, do not forget to occasionally check the contents of this scratch directory by typing (replacing XXXX with the proper numbers for your username): ls -lt /scratch/hpcXXXX and removing any files that might be left over from old Abaqus runs. This is necessary because Abaqus will not remove these files if a job was terminated before it ran to completion. More about changing the Abaqus environment may be learned from the "Installation and Licensing Guide" (chapter 4) of the Abaqus documentation. Please contact us if you need assistance. Batch runsFluent can be run in batch mode. Since you likely have access to Fluent on your local machines, most interactive work can be done elsewhere, whereas the computationally intensive runs can be executed on a parallel system such as ours. For this, you have to set up a batch command file that consists of a sequence of commands that are issue to Fluent. To get an idea how such a batch command file looks, you can produce a journal file during an interactive session, and edit it later to eliminate unnecessary commands. Note that this needs to be done using the command line inside Fluent, not the menu buttons of the GUI. In fact, it is best to generate journal files in sessions that have been started with the -g option, i.e. that do not use the GUI at all. The "Text User Interface" that has to be used for writing batch files is documented in the Fluent documentation. Here is an example for a simple batch file that reads in a "case", initializes the flow, and runs 200 iterations. At the end a "data file" is printed and Fluent exits. rc fan.cas /solve/initialize/initialize-flow /solve/iterate 1 /file/write-data fan_1 exit yes Let's call this file "example.flin". Note that every command has to be included in the batch command file, including the answer "yes" to the question if you really want to exit the program without saving the case file. Once you have produced a working command file, you can test it by calling fluent 3ddp -g -i example.flin We have assumed you are running a three-dimensional solver in double precision. You will have to alter this entries when the case is different. Make sure that the output file for the data (in this case, "fan_1.dat") does not exist before you start the job, otherwise the system will query if you want to over-write it and the answer is not in your command file. Once everything works you could submit this job into the background (using bash) by typing fluent 3d -g -i example.flin > example.flout 2>&1 & This would redirect standard output and standard error to example.flout. The point is that Fluent is run non-interactively this way, i.e. we can use the same technique to submit a production job to the scheduler, as shown in the next section. Production runsTo submit a production job on our clusters, you must use the Grid Engine scheduler. To obtain details, read our Grid Engine help file. Production jobs that are run without scheduler will be terminated by the system administrator. For a Fluent production job, this means that rather than issuing the above batch command directly, you wrap it into a Grid Engine script that looks somewhat like this: #!/bin/bash #$ -S /bin/bash #$ -q abaqus.q #$ -l qname=abaqus.q #$ -V #$ -cwd #$ -pe shm.pe 12 #$ -m be #$ -M hpcXXXX@localhost #$ -o STD.out #$ -e STD.err rm fan_1.dat . /opt/fluent/ansys-16.1/setup_64bit.sh fluent 3ddp -t$NSLOTS -g -i example.flin Here we are running the above example batch file "example.flin" using 12 processors on a parallel machine. The output and any error messages from the system are re-directed to files called "STD.out" and "STD.err", respectively. The "#$ -q" and "#$ -l" entries force execution on the Linux cluster (important!). Email notification is handled by the "#$ -m" and "#$ -M" lines. Replace "hpcXXXX" by your actual username and make sure that a file called ".forward" that contains you actual email address is in your home directory. This practice makes it impossible for other users to see your email address. Many Fluent jobs that you run on our machines are likely to be quite large. To utilize the parallel structure of our machines, Fluent offers several options to execute the solver in a parallel environment, i.e. on several CPU's simultaneously. The default option for such runs is MPI i.e., it uses the Message Passing Interface for inter-process communication. To take advantage of the parallel capabilities of Fluent, you have to call the program with additional command line options that specify the details of your parallel run:
Parallel jobs of longer runtime should only be run in batch using the Grid Engine. The number of processors "12" specified in our example script appears only once, after #$ -pe shm.pe which is where you let the Grid Engine know how many processors to allocate to run the program. The internal environment variable NSLOTS will automatically be set to this value and can then be used in the fluent command line. It is also necessary to source a setup file called setup_64bit.sh. This will set various environment variables and enable the Fluent program to properly interact with Grid Engine. If you are interested, take a look. The file is readable. All processes are allocated within a single node. This is to make communication more efficient and to avoid problems with the control by Gridengine. The effect of this is that, while still using MPI, Fluent employs a so-called shared-memory layer for communication. The disadvantage is that the size of the job is restricted by the number of cores on a node. Once the script has been adapted (let's call it "fluent.sh"), it can be submitted to the Gridengine by qsub fluent.sh from the login node. Note that the job will appear as a parallel job on the Grid Engine's "qstat" or "qmon" commands. Note also that submission of a parallel job in this way is only profitable for large systems that use many CPU cycles, since the overhead for assigning processes, preparing nodes, and communication between them is considerable. There is an easier way to do this: We are supplying a small perl script called that can be called directly, and will ask a few basic questions, such as the name for the job to be submitted and the number of processes to be used in the job. Simply type AnsysSubmit and answer the questions. The script expects a Fluent input file with "file extension" .flin to be present and will do everything else automatically. This is meant for simple Fluent job submissions. More complex job submissions are better done manually. |
Further HelpFluent is a complex software package, and requires some practice to be used efficiently. In this FAQ we can not explain it use in any detail. The documentation for Fluent can be access from inside the program GUI by clicking on the "Help" button on the upper right. This is in html format. The pdf version of the docs can be found in /opt/fluent/ansys-16.0/v140/commonfiles/help/en-us/pdf Fluent documentation is subject to the same license terms as the software itself, i.e. you have to be signed up as a Fluent user in order to access it. If you are experiencing trouble running a batch command script, check carefully if the sequence of commands is exactly in sync with the program. This might mean typing them in interactively as a test. If you have problems with the Grid Engine, read our FAQ on that subject, and maybe consult the manual for that software which is accessible as a PDF file. HPCVL also provide user support in the case of technical problems: just send email to cac.help@queensu.ca. |