Computing resources already available to faculty in the Department of Statistics. (PDF Summary for use in grant proposals)
Statistics Computing Resources
- High Performance Research Computing Resources:
- Compute clusters
- OS: Debian 7 running Mosix2
- laplace.stat.washington.edu
- 16 node, 192 Core, 1,024 GB (1TB) Ram, 10Gb interconnect
- Cores/Node: 12, RAM/Node: 64GB
- student.stat.washington.edu
- 16 node, 128 Core, 256 GB Ram
- Cores/Node: 8, RAM/Node: 16GB
- newton.stat.washington.edu
- 2 node, 64 core, 1,024 GB (1TB) Ram, 10Gb interconnect
- Cores/Node: 32, RAM/Node: 512GB
- faloorum.stat.washington.edu
- 16 node, 160 Core, 640 GB Ram, 10Gb interconnect, restricted access
- * Note: Nodes 1-8 are different from nodes 9-16:
- Nodes 1-8: 8 Cores/Node, 32GB RAM/Node
- Nodes 9-16: 12 Cores/Node, 48GB RAM/Node
- Compute clusters
- General Computing Resources:
- R Studio servers (beta)
- Provide access to R via a web browser
- http://rstudio.stat.washington.edu
- Virtual Labs
- Access to department licenses software in a dedicated machine environment
- Can be used in classroom scenario with students connecting form their personal laptops
- view.stat.washington.edu
- Windows Terminal Services
- Provide centralized remote access to Windows desktops and software
- ts1.stat.washington.edu, 24 GB Ram, 8 Cores @ 2.0 GHz (Intel L5335)
- ts2.stat.washington.edu, 16 GB Ram, 8 Cores
- Linux login servers
- General Linux/Unix computing
- madrid.stat.washington.edu
- Web servers
- Provide departmental and individual web sites
- http://www.stat.washington.edu
- Printing services
- lager.stat.washington.edu (Windows)
- printer.stat.washington.edu (Linux)
- Desktops
- Dell Optiplex 990 and 9010
- Windows 8 or Ubuntu 13
- 4 Cores, 4 GB of Ram
- R Studio servers (beta)