Computing Services

More HPC Workshops

Build Your Skills with HPC Trainings and Workshops

Do you need some training so you can use the ICS-ACI systems more effectively? Or, maybe you’re just interested in learning more about HPC? Browse the list below, which includes both

  • Training sessions offered by ICS
  • Other learning opportunities

You’ll find informative HPC workshops on topics like optimizing your code, programming in parallel, using specific software applications, and more. Many of the options listed here are free and/or on-demand.

The Data Incubator DATA SCIENCE FELLOWSHIP

Date: Monday, September 10–Friday, November 2

Location: New York City | San Francisco Bay Area | Boston | Washington DC | Online

The Data Incubator is a Cornell-funded data science training organization. This program runs an advanced 8-week fellowship for PhDs looking make the transition from academia to industry. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others. The program is free for admitted Fellows. Learn more or apply here.

More Information

Introduction to Python and Jupyter

Date: Tuesday, September 11

Time: 3:00 p.m.–4:30 p.m.

Location: 106 Boucke Building

This ICS-hosted, beginner-friendly workshop is meant for any researcher or student interested in learning Python. Patrick Dudas and Adam Lavely, both members of the ICS Advanced Technical Services Team, will cover a number of entry-level topics to get people interested in programming and capable of using the Jupyter platform with Python. Attendees do not need to install any applications, as Jupyter runs in your browser and is tied to your Penn State user account. This is an environment that opens up questions to benefit the attendee's research or interests. Register here.  

More Information

Introduction to Python and Jupyter

Date: Tuesday, September 18

Time: 3:00 p.m.–4:30 p.m.

Location: 106 Boucke Building

This ICS-hosted, beginner-friendly workshop is meant for any researcher or student interested in learning Python. Patrick Dudas and Adam Lavely, both members of the ICS Advanced Technical Services Team, will cover a number of entry-level topics to get people interested in programming and capable of using the Jupyter platform with Python. Attendees do not need to install any applications, as Jupyter runs in your browser and is tied to your Penn State user account. This is an environment that opens up questions to benefit the attendee's research or interests. Register here.

More Information

Introduction to Python and Jupyter

Date: Tuesday, September 25

Time: 3:00 p.m.–4:30 p.m.

Location: 106 Boucke Building

This ICS-hosted, beginner-friendly workshop is meant for any researcher or student interested in learning Python. Patrick Dudas and Adam Lavely, both members of the ICS Advanced Technical Services Team, will cover a number of entry-level topics to get people interested in programming and capable of using the Jupyter platform with Python. Attendees do not need to install any applications, as Jupyter runs in your browser and is tied to your Penn State user account. This is an environment that opens up questions to benefit the attendee's research or interests. Register here.

More Information

ODSC West — San Francisco

Date: Wednesday, October 31–Saturday, November 3

Location: San Francisco, CA

Open Data Science Conferences focus on open source data science tools, libraries, and languages. The four-day conference has various speakers addressing a wide variety of data science topics, including recommendation systems, transfer learning, image classification and self-driving vehicles. Learn more about ODSC here.

More Information

SC18 Student Cluster Competition

Date: Sunday, November 11–Friday, November 16

Location: Dallas, Texas

If you are a student interested in high-performance computing, consider participating in the Student Cluster Competition at the SuperComputing 2018 (SC18) conference. The SCC was created in 2007 to allow undergraduate and high school students to work in teams to design and build small clusters in a 48-hour challenge. Faculty, please share with your students. Submit your proposal by April 20. Learn more or submit your proposal here.

More Information