* vf to the maximum amount of memory that your job will use * h_rt and s_rt to appropriate hard and soft runtime limits See the next section for an example using the distributed computing license.Ĭreate a job script "matlabtest.qsub" making sure to change: * Does not require the Parallel Computing Toolbox * Does not use the distributed licenses available on cheaha * Consumes one of your client licenses for the duration of the job
Serial MATLAB jobs have the following characteristics:
MatLab computational work must be run on the compute nodes by submitting a job submission script to the SGE scheduler or by using the Parallel Computing Toolbox on your desktop. Verify things work, but do not run any significant computations on the Cheaha head node! This will start matlab without a graphical display and without Java support. To get started, type one of these: helpwin, helpdesk, or demo. $ matlab -nodesktop -nojvm -r 'rand, pause(0), exit'
Set up your environment with the command:Īs a test, you can run MatLab and access your license server with share/apps/modulefiles -Ī simple test to verify that the MATLAB client on Cheaha can check out a license from your server (or from the campus license server ). The following is an example output of the command and doesn't necessarily represent the currently installed versions: If the version that you require isn't listed, please open a help desk ticket to request the installation. Use the 'module' command to view a list of available MATLAB versions. The instructions below describe command-line MATLAB interaction for the HPC environment on ]. While MATLAB is typically used via GUI workspace environment on a local desktop, MATLAB can be accessed from a command line environment in order to call MATLAB scripts from other scripts, issue commands to a running instances, or simply to support using a text-based terminal for users who prefer or need that functionality. You can view and copy the source of this page: For instance, the coloured areas can be replaced by lines.Īlthough it's worked well for situations I've needed it, I will be happy to modify the function if users come up against problems.The action you have requested is limited to users in the group: Users. The function has several examples and there are various visualization possibilities in addition to those shown in the above screenshot. Note that if data are not normally distributed then these statistics will be less meaningful. Furthermore, it allows one to eyeball the data to look for significant differences between means (non-overlapping confidence intervals indicate a significant difference at the chosen p-value, which here is 5%). Comparing the jittered data to the error bars provides a visual indication of whether the normality assumptions of the statistical tests are being violated. This plotting style is designed to be used alongside parametric tests such as ANOVA and the t-test. Also shown are the mean, and 95% confidence intervals for the mean. Jittered raw data are plotted for each group.
The use of the mean instead of the median and the SEM and SD instead of quartiles and whiskers are deliberate. This function (with a tongue in cheek name) addresses this problem. Whilst box plots have their place, it's sometimes nicer to see all the data, rather than hiding them with summary statistics such as the inter-quartile range.