This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob, qstat, and other tools; and parallel debugging and profiling of C and […]
This is a four-part workshop introducing programming concepts to those with little-to-no programming experience. The four 2-hour sessions will take place over two weeks, with Python being taught in the first three sessions, and Matlab in the fourth session. Computers are provided. Session 1: Feb 6, 11am - 1pm - Location: MLB 2001a Session 2: […]
Open to tenure/tenure track/research faculty. RSVPs appreciated but not required.
Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data, where the correlation typically arises from the observations being clustered in some way. For example, it is quite common to have data in which we have repeated measurements for the units of observation, or […]
This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users. We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes, Armis2, and Lighthouse clusters available later this year. There are […]
This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created a submission […]
We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering element. We'll start with a theoretical overview, discuss choosing an appropriate model, fitting the models, checking assumptions and post-hoc analysis. We'll also cover diagnosing convergence […]
TRANSLATIONAL CARDIOVASCULAR BIOMECHANICS AND MAGNETIC RESONANCE IMAGING
This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob, qstat, and other tools; and parallel debugging and profiling of C and […]
This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. […]