The Center for Research Computing ad Data is committed to our mission of training and education. Every semester, we offer a series of workshops presented by our research faculty consultant team, covering both the fundamentals of using CRCD resources and a range of advanced computing topics and skills. At the beginning of every semester, we offer out CRCD Ecosystem On-ramp workshop, covering the essentials of starting to work on CRCD clusters.
See the side menu for this semester’s workshops, bioinformatics workshops and archives of older workshops.
We also offer weekly hybrid office hours, in person at our office in Schenley Place, or virtually on Zoom. Every Friday from noon to 1pm, a CRCD team member will be available for in-person or virtual queries. No Help Tickets or email necessary to get immediate, live access to the deep experience of the CRCD team. If one consultant doesn't have your answer, they will put you in touch with a consultant who does.
ZOOM info for Friday Open Office Hours
Meeting Topic: CRC Office Hours
Meeting ID:951 2758 9846
Link: https://pitt.zoom.us/s/95127589846
Meeting Time:Sep 6, 2024 12:00 PM Eastern Time (US and Canada)
Every week on Fri, until Jan 3, 2025, 18 occurrence(s)
Sep 6, 2024 12:00 PM
Sep 13, 2024 12:00 PM
Sep 20, 2024 12:00 PM
Sep 27, 2024 12:00 PM
Oct 4, 2024 12:00 PM
Oct 11, 2024 12:00 PM
Oct 18, 2024 12:00 PM
Oct 25, 2024 12:00 PM
Nov 1, 2024 12:00 PM
Nov 8, 2024 12:00 PM
Nov 15, 2024 12:00 PMNov 22, 2024 12:00 PM (Team away at Supercomputing 24 Conference)Nov 29, 2024 12:00 PM (Thanksgiving Holiday)
Dec 6, 2024 12:00 PM
Dec 13, 2024 12:00 PM
Dec 20, 2024 12:00 PM
Dec 27, 2024 12:00 PM
Jan 3, 2025 12:00 PM
Phone one-tap:US: +12678310333,,95127589846# or 8778535247,,95127589846# (Toll Free)
Dial:
US : +1 267 831 0333 or 877 853 5247 (Toll Free)
International numbers
Past workshop subjects have included:
- Hands-on Introduction to Linux
- Introduction to Data Manipulation and Visualization
- Fundamentals of Accelerated Data Science
- Density Functional Theory Calculations
- Introduction to Programming on GPUs with CUDA and Python
- Hands-on AI/ML Workshops:
- Fundamentals of Accelerated Data Science
- Intermediate-level data science: Grasping Deep Learning: From Fundamentals to Applications
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs
- Foundational Python
- Introduction to Machine Learning with Python
- Version Control with Git and Data Management Perspectives
- Introduction to Scientific Programming on GPUs
- R for Data Management
- Basic R
- Advanced R
- Hybrid OpenMP/MPI programming
- CUDA