The Department of Statistics maintains a fleet of high-performance linux servers for faculty and graduate students, which are typically used to develop and run R, MATLAB, julia, python, etc. for statistical research, two of which have "Nvidia K20" graphics processing units(GPU) that can be used to run CUDA code. Additional high-performance servers are maintained for faculty research, and/or for use by their group members. The linux servers are a mix of Ubuntu, RedHat, and Scientific Linux operating systems. Most servers have at least 256GB RAM, and the latest Xeon processors.
The Department of Statistics has a 512-core high performance computing (HPC) cluster which uses the SLURM resource scheduler. The cluster is mostly used for running array jobs and is available to all department faculty and graduate students The department also has a stake (several nodes) in the MPS Peloton2 Cluster, for which all Statistics students, including undergraduate, are guaranteed access. The department also runs a large Hadoop cluster. It is mostly used for class related work, but access is available upon request. In addition to the resources housed within the department and on campus, specialized or large-scale computing is sometimes done using cloud-based resources such as AWS.
Access to the servers is automatically granted upon entering the program, however you must contact department IT staff, or stop by 4206 MSB with your Photo-ID, to set an initial password/activate your account.
For more information on these systems, hostnames, job submission, help, availability, etc, please reference the stat-us.ucdavis.edu page. (loginID required)