The Department of Statistics maintains 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. 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 Rocky Linux operating systems. Most servers have at least 256GB RAM and Xeon processors, with the latest having AMD EPYC CPU + NVIDIA Ampere GPU and 512GB+ RAM. New in Summer 2024, our shared instructional GPU cluster with NVIDIA Ampere A100-80gb GPUs! (msbc-cluster.ucdavis.edu)
The Department of Statistics recently retired its 512-core high performance computing cluster Gauss, and we thank campus HPC for hosting it over the years. The department has a 6 node stake in the MPS Peloton2 Cluster hosted by HPC, for which all Statistics students, including undergraduate, are guaranteed access. The department also runs a large Hadoop cluster. 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, Lambda, GCP, Azure, ...
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. (UCD VPN/loginID required)