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- Knowledge Base
- Special Computer Environments
- High Performance Computing (HPC)
Bowdoin College provides a Linux-based High-Performance Computing (HPC) cluster for faculty, students, and researchers. The cluster offers approximately 1,400 CPU cores, GPU computing, up to 2 TB of RAM per node, and a variety of scientific software. This article provides an overview of HPC resources and how to get started.
- Knowledge Base
- Policies, Standards & IT Communications
- Policies
Requires that every business computing system at Bowdoin have a designated Business System Owner responsible for ensuring the system meets the College's business needs and is appropriately documented, secure, controlled, tested, available, and sustainable. It applies to all computerized systems involved in creating, processing, or distributing College business information.
- Knowledge Base
- Teaching & Learning
- Jupyterhub
How to log in to Bowdoin's JupyterHub service at jupyter.bowdoin.edu, spawn a notebook server on the High Performance Computing grid, open your home directory, and start a new notebook. Applies to Bowdoin students, faculty, and staff who use JupyterHub for R, Python, or SageMath.
- Knowledge Base
- Policies, Standards & IT Communications
- Policies
This policy governs acceptable use of all computing equipment and facilities owned or operated by Bowdoin College, including access via the Internet, and describes users’ responsibilities, privacy expectations, and the College’s right to monitor system activity. It applies to all students, faculty, and staff who use College computing facilities.
- Knowledge Base
- Special Computer Environments
- High Performance Computing (HPC)
Instructions for requesting GPU computing, high-memory nodes, and other specialized resources on the Bowdoin HPC Slurm cluster. Covers available NVIDIA GPU cards and request syntax, memory reservation options, mixed GPU and CPU jobs, and the experimental NVIDIA Grace Hopper system.
- Knowledge Base
- Policies, Standards & IT Communications
- Policies
This policy describes how the College provides, replaces, maintains, and reclaims computers used primarily by faculty in their offices and related workspaces, including standard models, the four-year replacement cycle, use at home or while on leave, and return of equipment at the end of an appointment. It applies to faculty office computing, not to student workspaces or laboratories.
- Knowledge Base
- Policies, Standards & IT Communications
- Policies
Defines the responsibility of all users of Bowdoin's network and computer resources to use and protect those resources appropriately and to respect the rights of others, in support of the College's teaching, learning, and research missions. It applies to everyone who uses College computing and network resources.
- Knowledge Base
- AI Prompt Catalog
- Teaching & Learning
A LibreChat prompt that builds a clear, student-friendly grading rubric as a table, with measurable criteria and observable performance-level descriptions aligned to your learning outcomes. For Bowdoin faculty who want transparent, fair, and rigorous evaluation criteria for any assignment.
- Knowledge Base
- Devices, Printing & Scanning
- Hybrid & Remote Working
Best practices for optimizing home internet connectivity for hybrid and remote workers. Covers performance testing, wired vs. wireless tradeoffs, wireless signal optimization, ISP types, and troubleshooting suggestions. For faculty, staff, and students working or learning remotely.
- Knowledge Base
- Telephone, TV, & Virtual Meetings
- Television
Which Roku devices work with Xfinity on Campus on the Bowdoin network, recommending the Roku Ultra (or Roku Streaming Stick+) for best performance, noting that wireless Roku devices must be registered on the network first, and that Roku-integrated smart TVs are also supported. Applies to on-campus students.
- Knowledge Base
- Special Computer Environments
- High Performance Computing (HPC)
Reference information for the Bowdoin HPC Slurm cluster, including queue (partition) descriptions, job policies and resource limits, and a hardware overview suitable for grant proposals.
- Knowledge Base
- Special Computer Environments
- High Performance Computing (HPC)
Instructions for submitting, monitoring, and managing jobs on the Bowdoin HPC Slurm cluster. Covers writing job scripts, using sbatch and the hpcsub wrapper, running parallel processing jobs (SMP and OpenMPI), running interactive jobs, and controlling jobs with squeue and scancel.
- Knowledge Base
- Internet & Networking
- Connecting to Campus Wi-Fi
Explains what services and resources are and are not available when connected to Bowdoin's BOWDOIN-GUEST wireless network. Intended for campus visitors and community members who want to understand the network's limitations.
- Knowledge Base
- Special Computer Environments
- High Performance Computing (HPC)
Instructions for transferring files between your local computer and the Bowdoin HPC environment. Covers the HPC Web Portal file browser, mounting the HPC research space via SMB from macOS or Windows, SFTP from the command line, and using Gluster temporary scratch storage for running jobs
- Knowledge Base
- Internet & Networking
- Connecting to Campus Wi-Fi
Explains how Bowdoin students, faculty, and staff can use their Bowdoin credentials to connect to Wi-Fi at other colleges, universities, and research institutions that participate in the eduroam network. Covers what to expect, when VPN is still needed, and how to troubleshoot a failed connection.