Introduction to High-Performance Computing
Introduction to High-Performance Computing In-Person
This comprehensive introduction to high-performance computing prepares attendees to use Talapas, UO's supercomputer. These interactive workshops introduce UNIX commands, Bash scripting, file management, OnDemand, Slurm, JupyterLab integration, and Talapas best practices. Workshops are taught by a team of instructors from UO Libraries, Research Advanced Computer Services (RACS), and the Lewis Center for Neuroimaging. Learn from experts in high performance computing and neuroscience!
No prior experience with the command line or high-performance computing is required, though participants may benefit from knowledge of a programming language like Python or R.
Schedule:
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Introduction to Bash: Oct 14th, 1pm - 3pm
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Bash Scripting on Talapas: Oct 16th, 1pm - 3pm
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Talapas Essentials: Oct 21st, 1pm - 3pm
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Running Jobs on Talapas with Slurm: Oct 23rd, 1pm - 3pm
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Advanced Slurm: Oct 28th, 1pm - 3pm
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JupyterLab on Talapas: Oct 30th, 1pm - 3pm
- Bruce Edelman - Research Computing Facilitator, RACS
- Freddy Lopez - Research Systems Engineer, RACS
- Jolinda Smith - MR Physicist, Lewis Center for Neuroimaging
- Erin M. Winter - Research Data Management Librarian, Data Services
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William Winter - Research Software Engineer, RACS
To make sure participants can access Talapas during in-person workshop sessions, advance registration is required. Priority will be given to students, faculty, and staff with positions in research labs that use (or plan to use) Talapas.
Want to get a sneak peek of the curriculum? Previous sessions are archived on the course website on GitHub. Contact us if you have any questions.
- Dates & Times:
- 1:00pm - 3:00pm, Tuesday, October 14, 2025
1:00pm - 3:00pm, Thursday, October 16, 2025
1:00pm - 3:00pm, Tuesday, October 21, 2025
1:00pm - 3:00pm, Thursday, October 23, 2025
1:00pm - 3:00pm, Tuesday, October 28, 2025
1:00pm - 3:00pm, Thursday, October 30, 2025
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Knight DREAM Lab - Book the Entire Lab
- Branch:
- Knight Library
- Audience:
- Faculty and Staff Graduate Students Undergraduate Students
- Categories:
- Programming Programming > Python Scientific Computing Workshop